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DTSTART;VALUE=DATE:20260928
DTEND;VALUE=DATE:20261003
DTSTAMP:20260615T112931Z
CREATED:20260615T112302Z
LAST-MODIFIED:20260615T112931Z
UID:33859-1790553600-1790985599@www.iaa.csic.es
SUMMARY:IAA-CSIC Severo Ochoa School on Artificial Intelligence and Machine Learning in Astronomy
DESCRIPTION:THE SCHOOL\n\n\nOverview & Scientific Rationale\nModern astronomy is entering a data-intensive era in which Artificial Intelligence and Machine Learning are becoming essential scientific tools. From interferometric image reconstruction to source classification and cosmological inference\, AI methods are transforming how astronomical discoveries are made. \nThe Instituto de Astrofísica de Andalucía – Severo Ochoa (IAA-SO) School on Artificial Intelligence and Machine Learning in Astronomy 2026 will provide graduate students\, postdoctoral researchers\, and early-career scientists with practical training in state-of-the-art AI techniques applied to real astronomical datasets from world-leading facilities. \nTraining Modules\nThe school is organized around five major technical pillars\, each led by an expert in the field: \nImage Reconstruction: Optical/infrared interferometry deconvolution utilizing Deep Image Priors Neural Networks (DIP-NN). \nRadio Surveys: Data augmentation and automated morphological classification of radio sources using CNNs and Vision Transformers (ViT). \nLarge-Scale Structure: Graph Neural Networks (GNNs) for classification and regression tasks on dark matter halo simulations. \nGamma-Ray Astronomy: Deep learning-based image and waveform reconstruction for Imaging Atmospheric Cherenkov Telescopes. \nUnsupervised Learning: High-dimensional embeddings (t-SNE\, UMAP\, EVoC) and clustering algorithms applied to chemical tagging of star clusters. \n​​ \nWho should attend?​\n​The school is designed for:​ \n\nMSc and PhD students in astronomy\, physics\, data science\, or related disciplines\nPostdoctoral researchers\nEarly-career scientists interested in AI applications in astronomy\nResearchers seeking practical experience with modern machine learning workflows\n\n\n\n\n \n\n\n			\n				\n				\n				\n				\n				Prerequisites\n\n\n\n\n​Participants are expected to have:​ \n\nBasic Python programming experience.\nFamiliarity with scientific computing tools (NumPy\, Jupyter notebooks).\nBasic astronomy knowledge\n\n  \n​Computing Environment\n\n\n\n\n\n\n\n\nTutorials will be delivered through Python notebooks. Software installation instructions and datasets will be distributed before the school. Participants should bring a laptop capable of running Python scientific workflows. \n\n\n\n\n\n\n\n\n\nLearning outcomes\nParticipants will: \n\nBuild and train modern neural network architectures\nWork directly with astronomical FITS datasets and simulations\nDevelop practical experience with CNNs\, Vision Transformers\, Graph Neural Networks and unsupervised learning methods\nUnderstand strengths and limitations of AI approaches in astronomy\nGain reproducible workflows applicable to their own research\n\n  \n\n\n\n\n			\n				\n				\n				\n				\n				\n\n\n\n\nSpeakers & Lecturers\n\n\nWe are pleased to host an international team of lecturers specializing in different subsets of astronomical machine learning:​​ \n\nDr. Joel Sánchez Bermúdez Instituto de Astronomía (IA-UNAM)\, Mexico\nDr. Andrea DeMarco Institute of Space Sciences and Astronomy (ISSA)\, University of Malta\, Malta\nDr. Farida Farsian Italian National Institute for Astrophysics (INAF)\, Osservatorio Astrofisico di Catania (OACT)\, Italy\nDr. Tjark Miener University of Geneva\, Switzerland / IAA Granada\, Spain\nDr. Rafael Garcia-Dias\, King’s College London\, United Kingdom\n\n\n\n\n​ \n\n\n\n\n			\n				\n				\n				\n				\n				\n\n\n\n\n \n\n\n\n\nSCIENTIFIC ORGANIZING COMMITTEE\n\n\n\nDr. Joel Sánchez Bermúdez (IA-UNAM\, Mexico) — Chair\nDr. Javier Moldón (IAA-CSIC\, Spain) — Co-chair\nDr. Cristóbal Bordiú (IAA-CSIC\, Spain)\nDr. Laura Darriba (IAA-CSIC\, Spain)\nDr. Rubén López-Coto (IAA-CSIC\, Spain)\nDr. Ginés Martínez Solaeche (IAA-CSIC\, Spain)\n\n\n\n \nLOCAL ORGANIZING COMMITTEE\n\n\n\nDr. Laura Darriba (IAA-CSIC)\nDr. Javier Moldón (IAA-CSIC)\nDr. Cristóbal Bordiú (IAA-CSIC)
URL:https://www.iaa.csic.es/evento/iaa-csic-severo-ochoa-school-on-artificial-intelligence-and-machine-learning-in-astronomy/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:SO Workshop
ATTACH;FMTTYPE=image/jpeg:https://www.iaa.csic.es/wp-content/uploads/2026/06/Captura-de-pantalla-2026-06-15-a-las-12.49.25.jpg
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261019
DTEND;VALUE=DATE:20261024
DTSTAMP:20260522T090934Z
CREATED:20260522T090552Z
LAST-MODIFIED:20260522T090934Z
UID:33024-1792368000-1792799999@www.iaa.csic.es
SUMMARY:"Where skies meet: multidisciplinary views of planet and exoplanet atmospheres" - IAA-CSIC Severo Ochoa Advanced School
DESCRIPTION:The IAA-CSIC Severo Ochoa Advanced School «Where skies meet: multidisciplinary views of planet and exoplanet atmospheres» is designed for researchers interested in the study of planetary atmospheres both in the Solar System and in exoplanets\, aiming to bridge the two communities. The school will provide an up-to-date perspective on the latest developments in the study of Solar System atmospheres and in the emerging field of exoplanetary atmospheres\, reflecting the rapid evolution of planetary science. While researchers at all career stages are welcome\, preference will be given to early-stage researchers (PhD researchers and early postdocs). \nThe topics covered by the school include planetary formation\, planetary interior and its link with the atmosphere\, atmospheric modeling\, observational techniques\, radiative transfer and retrieval schemes\, as well as 1-day Workshop on potential Venus-analogue exoplanets. In addition to topical lectures going beyond textbook knowledge\, the school will also schedule hands-on sessions focused on the practical use of  state-of-the-art tools in the field given by their developers\, promoting interaction between lecturers and participants. \n  \n\nMAIN SCIENCE TOPICS\n\n\n\nPlanetary formation\nPlanetary interior and conexion with atmosphere\nAtmospheric modeling\nObservational techniques\nRadiative transfer and retrieval schemes\nWorkshop: Venus analogue exoplanets\n\n  \n \n\n\n\n\n\n \n\n\n\n\n\n\n \n\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n\n\n\nLECTURERS AND TUTORS\n\n\n\nLorena Acuña (Max Planck Institute for Astronomy\, Germany)\nJoanna Barstow (Open University\, UK)\nElsa Ducrot (IRFU-CEA\, France)\nFrancois Forget (Laboratoire de Météorologie Dynamique – IPSL\, France)\nEric Hébrard (University of Exeter\, UK)\nManuel López Puertas (Instituto de Astrofísica de Andalucía – CSIC\, Spain)\nYamila Miguel (Leiden University\, The Netherlands)\nOlga Muñoz (IAA-CSIC\, Granada\, Spain)\nIgnas Snellen (Leiden University\, The Netherlands)\nMichael Way (Theoretical Astrophysics\, Department of Physics and Astronomy\, Uppsala University\, Uppsala\, Sweden)\n\n​ \n\n\n\n\n			\n				\n				\n				\n				\n				\n\n\n\nORGANIZING COMMITTEE\n\n\n\nFrancisco José García Izquierdo (IAA-CSIC)\n​Francisco Gonzalez Galindo (IAA-CSIC) – Chair\nGabriella Gilli (IAA-CSIC) – Chair of the ExoVenus workshop\nThea Kozakis (IAA-CSIC)\nAlberto Mendi Martos (IAA-CSIC)\nGwenaël Milcareck (IAA-CSIC)\nFrancisco José Pozuelos Romero (IAA-CSIC)\nAlejandro Sánchez López (IAA-CSIC)\n\n\n\n\n\n\n\n 
URL:https://www.iaa.csic.es/evento/where-skies-meet-multidisciplinary-views-of-planet-and-exoplanet-atmospheres-iaa-csic-severo-ochoa-advanced-school/
LOCATION:IAA – CSIC\, Glorieta de la Astronomía\, Granada\, España
CATEGORIES:SO Workshop
ATTACH;FMTTYPE=image/jpeg:https://www.iaa.csic.es/wp-content/uploads/2026/05/2026-PLANTILLAS-MONITOR-3.jpg
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