Event types: Workshops and courses
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Country: Germany
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Keywords: Graph Neural Networks or photon or XRD
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Deep Learning School
21 - 24 May 2024
Filderstadt, Germany
Deep Learning School https://indico.desy.de/event/40560/ https://pan-training.eu/events/deep-learning-school-46deca27-6b8d-4b37-bbe7-5c5e63ad2197 The Active Training Course "Advanced Deep Learning" is hosted over 4 days at (location tba) by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub. The event serves the professional education of young scientists belonging to the ErUM Community. The intensive course on Graph Neural Networks, Transformers, Normalizing Flows and Autoencoders will be held from 21.05.24 - 24.05.24. The course includes a challenge to be worked out and presented by participant subgroups. The workshop is aimed at deep-learning enthusiasts from all ErUM communities (Research on Universe and Matter) who have prior knowledge of neural networks and applied basic concepts of deep learning. A fee of 300€ will be charged for participation in the course. The workshop fee includes the cost of the workshop, accommodation and catering. Registration closes tba. 2024-05-21 17:00:00 UTC 2024-05-24 14:00:00 UTC ErUM-Data-Hub (BMBF) Bernhäuser Forst, Filderstadt, Germany Bernhäuser Forst Filderstadt Germany 70794 [] [] [] workshops_and_courses [] Graph Neural NetworksAutoencoderModel DiffusionNormalizing Flows -
Lecture series "Experiments and Data at Photon and Neutron Facilities"
19 November 2024
Hamburg, Germany
Lecture series "Experiments and Data at Photon and Neutron Facilities" https://events.hifis.net/event/1811/ https://pan-training.eu/events/lecture-series-experiments-and-data-at-photon-and-neutron-facilities-8a5a9094-9f85-4912-ad24-dd9033e4a655 is lecture series, organized by the DAPHNE4NFDI consortium, aims at introducing to several common experimental techniques being used at large-scales facilities, i. e. neutron sources and synchrotrons, and various data aspects. The lectures will cover the basics of the methods and show practical application of these. In addition, challenges and opportunities on how to properly and efficiently handle the large datasets produced during experiments (i.e., improved research data management, automatic ingestion of metadata, artificial intelligence and machine learning models) are tackled to emphasize this mostly hidden aspect as well. The lecture series is aimed at MSc and PhD students, but also interested postdocs. The course corresponds to 2 ECTS points. The lecture series consists of 16 lectures and takes place every Tuesday at 3:30 PM (CET), starting from 22/10/2024. Please check content material before each lecture to get the latest version. 2024-11-19 15:30:00 UTC 2024-11-19 17:00:00 UTC DAPHNE4NFDI 85, Notkestraße, Hamburg, Germany 85, Notkestraße Hamburg Germany 22607 Karlsruhe Institute of Technology (KIT) vitaly.biniyaminov@kit.edu Deutsche Forschungsgemeinschaft (DFG) masters studentsPhD studentspostdocs workshops_and_courses [] Data at Photon and Neutron Facilitiesdata science XRDmetadatarefXAS

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