Keywords: Graph Neural Networks or Autoencoder or Model Diffusion or dataset or GPU or Photon science
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2nd European PaN EOSC Symposium
26 October 2021
2nd European PaN EOSC Symposium https://indico.psi.ch/event/11435/ https://pan-training.eu/events/2nd-european-pan-eosc-symposium Welcome to the 2nd European PaN EOSC Symposium organised by the ExPaNDS and PaNOSC projects, to be held online, on Tuesday, October 26th 2021. The half-day meeting is open to external stakeholders (scientists, users and decision makers). Our first session will focus on project outcomes and sustainability models with contributions from the LEAPS and LENS chairs, while in the second session we will be showing a selection of project use cases to encourage continuous vital user engagement. 2021-10-26 09:30:00 UTC 2021-10-26 13:00:00 UTC PaNOSC and ExPaNDS [] [] researchers meetings_and_conferences [] Photon scienceNeutron scienceexpandsPaNOSC -
ExPaNDS Closing Event
23 - 24 January 2023
Hamburg, Germany
ExPaNDS Closing Event https://indico.desy.de/event/36892/ https://pan-training.eu/events/expands-closing-event We are glad to announce the ExPaNDS closing event, to be held in Hamburg on 23rd to 24th January 2023. For those who may not join in person, there will be the chance to attend remotely. Our final event for ExPaNDS aims to present the opportunity to follow a user story showcasing the major results achieved during the length of the project. Our project contributors will gather to discuss and show case use cases, platforms, FAIR principles and options for the future with a view to sustainability of the tools, software and services developed to make data findable, accessible, interoperable and reusable (FAIR) across European Photon and Neutron (PaN) facilities, working towards the implementation of a PaN Data Commons to further contribute to the European Open Science Cloud (EOSC). Furthermore, we will also have invited talks by renown scientists high-lighting the continued importance of #Opendataforopenscience. A hybrid option for both the internal and public sessions will be available. We hope to be able to collect feedback and expectations of PaN scientists on their view on the future of FAIR and open data principles. We also look forward to hearing the latest news on the [DAPHNE4NFDI](https://www.daphne4nfdi.de/) project from our colleagues involved in this grant. 2023-01-23 12:00:00 UTC 2023-01-24 17:00:00 UTC Blomkamp, Hamburg, Germany Blomkamp Hamburg Germany 22607 DESY [] PaN Communitydata managersresearch data scientist meetings_and_conferences [] expandsPhoton scienceneutron researchFAIREOSC -
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 -
Fundamentals of Scientific Metadata: Why Context Matters
18 - 19 June 2024
Fundamentals of Scientific Metadata: Why Context Matters https://events.hifis.net/event/1520/ https://pan-training.eu/events/fundamentals-of-scientific-metadata-why-context-matters This course is an entry-level introduction to the fundamentals of scientific metadata for PhD students, early-career researchers, and postdocs. In this course we will look at the intricate relationship between (digital) research data, metadata, and knowledge; discuss why metadata is critical in today’s research; and explain some of the technologies and concepts related to structured machine-readable metadata. Have you ever struggled to make sense of scientific data provided by a collaborator? Or, even worse, to understand your own data five months after publication... Do you have difficulties in meeting the data description requirements of your funding agency? Do you want your data to have lasting value; but don’t know how to ensure that? Precise and structured descriptions of research data are key for scientific exchange and progress - and for ensuring recognition of your effort in data collection. The solution: make your data findable, accessible, interoperable, and reusable - by describing them with metadata. This course is targeted especially at scientific staff and researchers in the Helmholtz Research Field Matter but is open to anyone who would like to better understand research data annotation with metadata. *What You Will Learn*: * Understanding the vital differences between data and metadata. * Techniques for annotating research data using structured metadata. * Identifying and implementing appropriate metadata frameworks and data repositories. * Developing basic skills in Markdown, JSON, XML. * Exploring tools to improve your metadata annotation capabilities. * Recognizing the role of structured metadata in enhancing your scientific visibility. In this course, we will specifically focus on matter-related datasets, formats, and metadata schemas. However, it is open to anyone interested in learning about structured metadata and its importance in scientific research. 2024-06-18 09:00:00 UTC 2024-06-19 12:30:00 UTC [] [] [] workshops_and_courses [] metadatadata managementdata repositorymatterdataset -
DESY Summer Students
16 July - 5 September 2024
Hamburg, Germany
DESY Summer Students https://summerstudents.desy.de https://pan-training.eu/events/desy-summer-students-9a217c0b-34bf-4993-9474-9d452058646b Each summer DESY offers undergraduate students in physics or related disciplines (such as scientific computing and engineering) the opportunity to obtain first-hand research experience at a large international laboratory. Students are invited for a 8 week training period to experience research in one of the various fields pursued at DESY: (1) Photon science (2) Elementary particle physics & Accelerators (3) Astroparticle physics 2024-07-16 09:00:00 UTC 2024-09-05 17:00:00 UTC DESY 85, Notkestraße, Hamburg, Germany 85, Notkestraße Hamburg Germany 22607 DESY summie-org@desy.de [] undergraduate students workshops_and_courses [] Photon scienceaccelerator physicsparticle physics -
2nd DESY Ukraine School
16 July - 5 September 2024
Hamburg, Germany
2nd DESY Ukraine School https://summerstudents.desy.de/ukraine_school/ https://pan-training.eu/events/2nd-desy-ukraine-school Following the first edition in 2023, the 2nd DESY Ukraine School will take place in Summer 2024 and will be done in parallel/jointly with the DESY Summer Student program 2024. Applicants for the first edition who were not successful are welcomed to apply for the second edition. The school provides physics students enrolled at a Ukrainian university the opportunity to obtain first-hand research experience at a large international laboratory. Students are invited for a 8 week training period to DESY Hamburg or Zeuthen and experience research in one of the various fields pursued at DESY: (1) Photon science (2) Elementary particle physicsand Accelerators (3) Astroparticle physics 2024-07-16 09:00:00 UTC 2024-09-05 17:00:00 UTC 85, Notkestraße, Hamburg, Germany 85, Notkestraße Hamburg Germany 22607 DESY ukraine-school-org@desy.de DESY undergraduate studentsUkrainian students workshops_and_courses [] Photon scienceparticle physicsastrophysicsaccelerator physics -
RÅC International Summer School
1 - 8 September 2024
Krakow, Poland
RÅC International Summer School https://www.rac-school.org/rac2024/ https://pan-training.eu/events/rac-international-summer-school The RÅC International Summer School is a summer school on advanced materials research at large-scale X-ray and neutron facilities. The school is building on the German-Swedish Röntgen-Ångström-Cluster (RAC) and has a geographical focus around the Baltic Sea region. 2024-09-01 09:00:00 UTC 2024-09-08 17:00:00 UTC Institute of Nuclear Physics PAN, Krakow 152, Walerego Eliasza Radzikowskiego, Krakow, Poland 152, Walerego Eliasza Radzikowskiego Krakow Lesser Poland Voivodeship Poland 31-342 DESYvetenskapsradetinstitute of nuclear physics pan [] masters studentspostdocsdoctoral students workshops_and_courses [] Photon scienceneutron research -
Fast and Efficient Python Computing School
24 - 27 September 2024
Fast and Efficient Python Computing School https://indico.desy.de/event/40133/ https://pan-training.eu/events/fast-and-efficient-python-computing-school This is a School organized by the ErUM-Data-Hub with support from DIG-UM. In this school you will learn how Python code can be accelerated. A focus will be placed on numeric NumPy-like array computations. In addition, running these array computations on hardware accelerators, i.e., GPUs, will play a key role in this school. The school is intended for young researchers - especially for PhD students - who regularly work with the scientific Python ecosystem. Requirements are good knowledge of the scientific Python ecosystem, basics of the C++ programming language are beneficial. The school (see timetable) is split into five parts of which three are keynote lectures with hands-on tutorials. The other two comprise an opening talk and a coding group challenge for the participants. A fee of 300€ will be charged for participation in the workshop. ## Topics: * Setting the scene: benefits and disadvantages of the Python programming language and a brief outline how Python programs can be accelerated in general. * Efficient Python Programming: general approaches to accelerate Python code, using C++ in Python and accelerating array computations. * Accelerator Optimised Programming: how array computations can be run on GPUs with typical Deep Learning libraries, such as JAX or TensorFlow. * GPU Programming: understanding the hardware layout, i.e., thread and memory layout and hierarchy and basics of the CUDA toolkit. A focus is set on how to program custom GPU kernels for, e.g., Deep Learning applications (in JAX or TensorFlow). * Group Challenge 2024-09-24 09:30:00 UTC 2024-09-27 18:00:00 UTC [] [] [] workshops_and_courses [] PythonGPUAccelerator Optimised Programming

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