BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Mattia Chini (GIGA): "The preconfigured brain: from synapses to ci rcuits and behavior" DTSTART;VALUE=DATE-TIME:20260518T130000Z DTEND;VALUE=DATE-TIME:20260518T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-591@indico.giga.uliege.be DESCRIPTION:Abstract: Early brain activity looks noisy\, but it obeys cons istent statistical and dynamical laws. We argue that these laws arise from a preconfigured circuit architecture that forms before sensory experience and constrains later computation and behavior. We show this across scales . At the synaptic and single-unit level\, large-scale electrophysiology ac ross development reveals early\, persistent signatures of organization: he avy-tailed firing-rate distributions\, stable interaction statistics\, and a hub-like\, “oligarchical” structure. Computational modeling shows t hat these features cohere as intrinsic constraints rather than products of learning. This framework extends to brain organoids\, a model that is\, b y definition\, devoid of sensory experience. In human and mouse organoids\ , structured firing sequences and circuit topology emerge spontaneously\, giving a controlled system to test what network organization development c an generate on its own\, and what truly requires external input. If circui t structure precedes experience\, it should support computation from birth . We therefore turn to behavior and ask whether higher-order cortex can in fluence neonatal actions\, contrary to the common view that it matures too slowly to matter. Focusing on survival-relevant innate behaviors\, we com bine in vivo electrophysiology\, opto- and chemogenetics\, anatomical trac ing\, and modeling to show that neonatal prefrontal circuits exert causal top-down control over light avoidance and ultrasonic vocalizations through defined cortical and cortico-striatal pathways. Together\, these results support a synapse-to-network-to-behavior account: early architecture sets the scaffold\, firing sequences tunes the operating regime\, and higher-or der circuits shape behavior well before classical sensory learning.\n\nBio : Mattia Chini is a physician-scientist and newly appointed PI at GIGA Neu rosciences (Université de Liège)\, with a joint affiliation at Universit y Medical Center Hamburg-Eppendorf. His lab studies how inhibitory circuit s mature during early development and how this maturation reshapes network phenomena\, from sparsification and spiking decorrelation to the emergenc e of structured rhythms. Using large-scale in vivo electrophysiology\, cel l-type-resolved circuit interrogation\, and quantitative modeling\, he has shown that key features of brain activity\, ranging from synapses to inna te behaviors\, are already present early in life\, supporting the preconfi gured brain hypothesis. He uses these quantitative signatures to reverse-e ngineer the circuit mechanisms that organize developing brain dynamics.\n\ nInvited by: Athena Demertzi\nhttps://indico.giga.uliege.be/event/591/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/591/ END:VEVENT BEGIN:VEVENT SUMMARY:Talwar Puneet (CRC): "From Data to Insight – Fast and Reproducib le Analysis with R Shiny" DTSTART;VALUE=DATE-TIME:20260601T120000Z DTEND;VALUE=DATE-TIME:20260601T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-601@indico.giga.uliege.be DESCRIPTION:Abstract: Translating complex data into actionable insight req uires tools that are not only statistically rigorous\, but also fast\, tra nsparent\, and reproducible. In this talk\, From Data to Insight – Fast and Reproducible Analysis with R Shiny\, I demonstrate how interactive app lications built in R Shiny can bridge the gap between advanced statistical modeling and practical decision-making. Using Shiny applications\, I will showcase workflows for generalized linear mixed models (GLMMs)\, featurin g the ability to replicate SAS results\, ensuring a seamless transition to open-source workflows. I will also present an interactive implementation of generalized additive models for location\, scale\, and shape (GAMLSS)\, enabling flexible distributional modelling and intuitive diagnostics. Bey ond modelling\, dedicated applications for power and sensitivity analysis\ , along with project dashboard\, demonstrate how Shiny can streamline rese arch workflows. The focus of this session is not only on statistical metho dology\, but on reproducibility\, scalability\, and cross-functional usabi lity. By combining robust statistical frameworks with interactive visualiz ation and automated reporting\, Shiny applications can accelerate analysis cycles\, reduce manual error\, and enhance transparency.\n\nBiosketch: Pu neet Talwar is a translational research scientist working at the intersect ion of neurobiology\, genomics\, and advanced data analytics. Trained as a Biotechnology Engineer\, he obtained his PhD in 2016 from the CSIR–Inst itute of Genomics and Integrative Biology (IGIB)\, in collaboration with t he Department of Neurology at the Institute of Human Behaviour & Allied Sc iences (IHBAS)\, New Delhi\, India. His doctoral research focused on ident ifying clinical\, genetic\, and proteomic biomarkers for Alzheimer’s dis ease using integrated clinical phenotyping\, computational\, and experimen tal approaches\, resulting in 14 international publications. His work high lighted the value of multimodal data in biomarker discovery. He also led p harmacogenomics research in Epilepsy as part of the Indian Genome Variatio n (IGV) Consortium. During his postdoctoral work at IHBAS\, he expanded in to neuroimaging-genetic and cognitive neurology research in Alzheimer’s disease. Currently\, at GIGA-CRC Human Imaging (University of Liège)\, he leads multimodal studies integrating neuroimaging\, sleep physiology\, an d genetic risk markers to better understand mechanisms underlying neurodeg enerative disease progression within a multinational consortium. His exper tise spans translational neuroscience\, biomarker discovery\, and reproduc ible statistical modeling using R-based pipelines. A strong advocate of op en-source science\, he develops interactive Shiny applications to streamli ne complex analyses.\n\nInvited by: Gilles Vandewalle\nhttps://indico.giga .uliege.be/event/601/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/601/ END:VEVENT BEGIN:VEVENT SUMMARY:Aurélie Ladang (Clinical chemistry\, CHU): "Biochemical biomarker s of the neurobiology of aging" DTSTART;VALUE=DATE-TIME:20260608T120000Z DTEND;VALUE=DATE-TIME:20260608T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-665@indico.giga.uliege.be DESCRIPTION:Biomarqueurs biochimiques de la neurobiologie du vieillissemen t\n\nRésumé: Les biomarqueurs biochimiques sont quant à eux des moléc ules dosables liées à un processus normal ou non telles que des protéin es\, des métabolites ou des acides nucléiques. Les biomarqueurs biochimi ques occupent une place centrale dans la médecine de laboratoire. Néanmo ins\, leurs concentrations varient au cours de la vie d’un individu que l’on soit en condition physiologique ou pathologique. Avec le vieillisse ment de la population\, il devient de plus en plus essentiel de comprendre et d’améliorer les performances de cet outil que sont les biomarqueurs biochimiques que l’on soit dans une population en vieillissement sain t elle que définie par l’OMS ou dans le cadre de pathologies spécifiques liées au vieillissement\, telles que les démences\, l’ostéoporose ou la sarcopénie.\n\nA travers la caractérisation des nouveaux biomarqueur s sanguins neurologiques tels que GFAP\, UCH-L1\, NfL ou pTau chez le suje t âgé\, nous avons mis en évidence des facteurs confondants jusque-là sous-estimés. Cette approche nous a permis de mesurer l’impact de ces f acteurs confondants sur la précision diagnostique de ces biomarqueurs.\n\ nAbstract: Biochemical biomarkers are measurable molecules linked to a nor mal or abnormal process\, such as proteins\, metabolites\, or nucleic acid s. Biochemical biomarkers play a central role in laboratory medicine. Howe ver\, their concentrations vary throughout an individual's life\, whether in a physiological or pathological condition. With the aging population\, it is becoming increasingly essential to understand and improve the perfor mance of biochemical biomarkers\, whether in a population experiencing hea lthy aging as defined by the WHO or in the context of specific age-related pathologies such as dementia\, osteoporosis\, or sarcopenia.\n\nThrough t he characterization of new neurological blood biomarkers such as GFAP\, UC H-L1\, NfL\, and pTau in older adults\, we have identified previously unde restimated confounding factors. This approach has allowed us to measure th e impact of these confounding factors on the diagnostic accuracy of these biomarkers\n\n\nBiographie: Aurélie LADANG\, a obtenu son doctorat en Sci ences Pharmaceutiques à l'ULiège en 2008. Son doctorat en biologie molé culaire et en oncologie s’est focalisé sur la fonction de la protéine Elp3 dans le développement du cancer du côlon. Aurélie s'est ensuite co ncentrée sur la chimie clinique en tant que pharmacien biologiste. Elle t ravaille actuellement en tant que responsable du secteur endocrinologie et neurologie au laboratoire de chimie clinique du professeur E. Cavalier au CHU de Liège. La neurobiologie du vieillissement et l'identification de biomarqueurs sanguins neurologiques dans la démence et le vieillissement sont les principaux sujets de sa recherche actuelle.\n\nBiography: Auréli e Ladang obtained her PhD in Pharmaceutical Sciences from the University o f Liège (ULiège) in 2008. Her doctoral thesis in molecular biology and o ncology focused on the function of the Elp3 protein in the development of colon cancer. Aurélie then specialized in clinical chemistry as a clinica l pharmacist. She currently works as head of the endocrinology and neurolo gy department in Professor E. Cavalier's clinical chemistry laboratory at the University Hospital of Liège (CHU de Liège). The neurobiology of agi ng and the identification of neurological blood biomarkers in dementia and aging are the main subjects of her current research.\n\n \n\nTEAMS link\ n\n \n\nInvited by Grégory Hammad \nhttps://indico.giga.uliege.be/even t/665/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/665/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20260622T120000Z DTEND;VALUE=DATE-TIME:20260622T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-663@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/663/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/663/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20260907T120000Z DTEND;VALUE=DATE-TIME:20260907T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-670@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/670/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/670/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20260921T120000Z DTEND;VALUE=DATE-TIME:20260921T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-671@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/671/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/671/ END:VEVENT BEGIN:VEVENT SUMMARY:Pierre-François Pirlet (DPO\, ULiège). Introduction to RGPD prin ciples and presentation of DMPonline.be DTSTART;VALUE=DATE-TIME:20261005T120000Z DTEND;VALUE=DATE-TIME:20261005T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-672@indico.giga.uliege.be DESCRIPTION:The General Data Protection Regulation (GDPR) constitutes the European reference framework for the collection and use of personal data. Mastering its principles and the resulting obligations (information\, cons ent\, security\, incident management among others) is a key issue for rese archers in all disciplines.\n\nThis training course will present the gener al principles of the GDPR\, the concrete obligations and will consider a s eries of situations encountered in research work. It will also call on the dmponline.be platform as a resource to support the development of a GDPR- compliant research protocol.\nhttps://indico.giga.uliege.be/event/672/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/672/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20261019T120000Z DTEND;VALUE=DATE-TIME:20261019T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-673@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/673/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/673/ END:VEVENT BEGIN:VEVENT SUMMARY:Neuroimaging data analysis (GBIO0034) DTSTART;VALUE=DATE-TIME:20261102T130000Z DTEND;VALUE=DATE-TIME:20261216T170000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-669@indico.giga.uliege.be DESCRIPTION:Speakers: Christophe Phillips (GIGA in silico medicine & CRC i n vivo imaging)\nThis Indico event describes the content and planning for the course "Neuroimaging data analysis" (GBIO0034)\, formerly known as "I ntroduction to medical statistics" (STAT0722). The program is very similar but might be slightly updated from one year to the next\, especially the later classes...\n\nThe course content is focused on the SPM software and its application to analyse neuroimaging data. The course will be illustrat ed with some example of data processing using the demo data from SPM. The material from last year's is still available\; moreover the course in 2 020 was taught online and the video recording are an excellent source of information. Not to be missed either\,\n\n\n the slides and videos from past official SPM courses in London are all accessible online!\n there is also Joseph Devlin's great series of short lectures on YouTube\, entitled "Designing and Analysing fMRI Experiments".\n\n\nFinally the SPM documenta tion has been refreshed and is now also available in a friendly online for mat\, this includes tutorials for all the demo datasets.\n\nClass room & t imetable\n\nSix classes are planned\, on Mondaysdays from 14h till 17h wit h a mid-break. Those will take place in the "large meeting" room\, aka. " Fluor" at the Cyclotron Research Centre\, B30\, on November 2\, 9\, 16\, 23 & 30 and December 7\, as described here under. The course might also be broadcasted via Teams too but no guarantee about technical hickups! The exact program might be slightly adjusted.\n\nEvaluation\n\nThis will cons ist in\n\n\n the oral presentation (~20min) of a peer-reviewed article in the field of neuroimaging.\n the focus should be on the methodological asp ects and data processing overall.\n\n\nStudents are free to choose an arti cle they find interesting but it should still be approved by C. Phillips.\ n\nPotential journals:\n\n\n Neuroimage\, \n Human Brain Mapping\, \n Fr ontiers in Brain Imaging Methods\, \n Imaging Neuroscience\, \n Aperture Neuro\,\n ...\n\n\nPotential papers\, for 2025-2026 academic year (updat ed from the 2024-2025 list):\n\n\n Váša et al. Ultra-low-field brain MR I morphometry: Test–retest reliability and correspondence to high-field MRI. Imaging Neuroscience 2025\, https://doi.org/10.1162/IMAG.a.930\n \n Fortin et al. GOUHFI: A novel contrast- and resolution-agnostic segmenta tion tool for ultra-high-field MRI. Imaging Neuroscience 2025\, https:// doi.org/10.1162/IMAG.a.960\n \n \n Wunderlich et al. Denoising strategies of functional connectivity MRI data in lesional and non-lesional brain di seases. Imaging Neuroscience 2025\, https://doi.org/10.1162/IMAG.a.968\n \n \n He et al. Common pitfalls during model specification in psychophysi ological interaction analysis. Imaging Neuroscience 2025\, https://doi.o rg/10.1162/IMAG.a.989 \n \n \n Peterson et al. Regularized partial corre lation provides reliable functional connectivity estimates while correctin g for widespread confounding. Imaging Neuroscience 2025\, https://doi.or g/10.1162/IMAG.a.162\n \n \n Giubergia et al. Multi-echo versus single-ec ho EPI sequences for task-fMRI: A comparative study. Imaging Neuroscience 2025\, https://doi.org/10.1162/IMAG.a.94\n \n \n Shin et al. Estimation and Removal of Residual Motion Artifact in Retrospectively Motion-Correct ed fMRI Data: A Comparison of Intervolume and Intravolume Motion Using Gol d Standard Simulated Motion Data. Aperture Neuro\, 2024. https://doi.org/ 10.52294/001c.123369\n \n \n Adame-Gonzalez et al. FONDUE: Robust resolut ion-invariant denoising of MR images using Nested UNets. Imaging Neuroscie nce\, 2024. https://doi.org/10.1162/imag_a_00374\n \n \n Esteban et al.  MRIQC: Advancing the automatic prediction of image quality in MRI from uns een sites. PLOS ONE 2017\, https://doi.org/10.1371/journal.pone.0184661\n \n \n Huber et al. Evaluating the capabilities and challenges of layer-f MRI VASO at 3T. Aperture Neuro 2023\, https://doi.org/10.52294/001c.85117 \n \n  \n\n\nDate\, time & place:\n\n\n TBD.\n at the  CRC (B30)\, large meeting room.\n\nhttps://indico.giga.uliege.be/event/669/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/669/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20261102T130000Z DTEND;VALUE=DATE-TIME:20261102T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-674@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/674/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/674/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20261116T130000Z DTEND;VALUE=DATE-TIME:20261116T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-675@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/675/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/675/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20261130T130000Z DTEND;VALUE=DATE-TIME:20261130T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-676@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/676/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/676/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20261214T130000Z DTEND;VALUE=DATE-TIME:20261214T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-677@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/677/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/677/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270111T130000Z DTEND;VALUE=DATE-TIME:20270111T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-679@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/679/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/679/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270125T130000Z DTEND;VALUE=DATE-TIME:20270125T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-680@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/680/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/680/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar (but carnival weekend!) DTSTART;VALUE=DATE-TIME:20270208T130000Z DTEND;VALUE=DATE-TIME:20270208T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-681@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/681/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/681/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270222T130000Z DTEND;VALUE=DATE-TIME:20270222T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-682@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/682/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/682/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270308T130000Z DTEND;VALUE=DATE-TIME:20270308T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-683@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/683/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/683/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270322T130000Z DTEND;VALUE=DATE-TIME:20270322T140000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-684@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/684/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/684/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270405T120000Z DTEND;VALUE=DATE-TIME:20270405T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-685@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/685/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/685/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270419T120000Z DTEND;VALUE=DATE-TIME:20270419T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-686@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/686/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/686/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270503T120000Z DTEND;VALUE=DATE-TIME:20270503T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-687@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/687/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/687/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270531T120000Z DTEND;VALUE=DATE-TIME:20270531T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-689@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/689/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/689/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270614T120000Z DTEND;VALUE=DATE-TIME:20270614T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-690@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/690/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/690/ END:VEVENT BEGIN:VEVENT SUMMARY:CRC Seminar DTSTART;VALUE=DATE-TIME:20270628T120000Z DTEND;VALUE=DATE-TIME:20270628T130000Z DTSTAMP;VALUE=DATE-TIME:20260611T032100Z UID:indico-event-691@indico.giga.uliege.be DESCRIPTION:https://indico.giga.uliege.be/event/691/ LOCATION:B-30/0-000 - FLUOR (Big meeting room) (CRC) URL:https://indico.giga.uliege.be/event/691/ END:VEVENT END:VCALENDAR