DAPHNE4NFDI
Auf der DAPHNE4NFDI Veranstaltungs-Seite finden Sie eine umfassende Sammlung bevorstehender Konferenzen Tagungen, Workshops und Schulen.
Events
Events
Upcoming ErUM-Data-Hub Events
2024
Event-Programm 2024
Auch im Jahr 2024 veranstaltet der ErUM-Data-Hub in Zusammenarbeit mit DIG-UM spannende Workshops und Schulen. Die Veranstaltungen richten sich an Teilnehmer:innen aus allen ErUM-Communities und werden an unterschiedlichen Standorten in Deutschland gehalten.
Das Jahresprogramm 2024 enthält bisher zwei Deep Learning Schulen, zwei Deep Learning Train-the-Trainer Workshops sowie eine Fast and Efficient Python Computing School. Hinzu kommen werden weitere Veranstaltungen, die in Kürze an dieser Stelle bekannt gegeben werden.
Registration and Announcement
Registration for the workshops and schools will be done through Indico Events. The links to the events will be announced here. We look forward to active participation from all ErUM communities. Feel free to distribute the event poster.
The Deep Learning School „Basic Concepts“ is hosted 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.
In February 2024, we will host for the fourth time the Deep Learning School at Hotel zur Post, Wiehl. In a comfortable ambience, intensive classes on Neural Network Building Blocks, Mastering Model Building and Convolutional Neural Networks will be held over 4 days. On the fifth day, there will be a Career & Soft Skill Workshop.
Die Schule findet als Präsenzveranstaltung im Hotel zur Post in Wiehl statt und ist auf 40 Teilnehmer:innen begrenzt. Die Teilnahmegebühr beinhaltet Unterkunft und volle Verpflegung. Anmeldungen sind ab sofort möglich.
- 26.02.24 - 01.03.24
- 40 Participants
- Attendance event in Meinerzhagen
This is the fifth Deep Learning Train-the-Trainer Workshop organized by the ErUM-Data-Hub with the support of DIG-UM.
Aim of this workshop is to educate lecturers for future teaching activities and to provide material to give lecture series on deep learning, including hands-on-exercises. Covered topics will be Neural Network Building Blocks & Mastering Model Building, Convolutional Neural Networks & Graph Convolutions and Generative Models.
This workshop is addressed to scientists from all ErUM communities with prior knowledge of neural networks with an academic level of postdoc or higher.
All attendees should be willing to give deep learning lectures at schools and workshops in the future.
Die Schule findet als Präsenzveranstaltung in Dresden statt und ist auf 30 Teilnehmer:innen begrenzt. Die Anmeldungen starten bald.
- 25.03.-26.03.24
- 30 Plätze
- Präsenzveranstaltung in Dresden
Active Training Course
The Active Training Course „Advanced Deep Learning“ is hosted over 4 days at (location tba) by thecommunity 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.
Die Schule findet als Präsenzveranstaltung statt und ist auf 50 Teilnehmer:innen begrenzt. Die Teilnahmegebühr beinhaltet Unterkunft und volle Verpflegung. Anmeldungen sind voraussichtlich ab Anfang 2024 möglich.
- 21.05.24 - 24.05.24
- 45 Plätze
- Präsenzveranstaltung in Filderstadt
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.
Die Schule findet als Präsenzveranstaltung statt und ist auf 50 Teilnehmer:innen begrenzt. Die Teilnahmegebühr beinhaltet Unterkunft und volle Verpflegung. Anmeldungen sind voraussichtlich ab Anfang 2024 möglich.
- 19.08.-23.08.24
- 45 Plätze
- Präsenzveranstaltung in Aachen
More ErUM-Events
Find more exciting networking and education opportunities within ErUM Communities here.
DAPHNE4NFDI-ENSA-ESUO European Data Policy Meeting
From 13-15th November the joint ENSA and ESUO meeting on European Data Policy in the frame of the German DAPHNE4NFDI project will be held at PSI (Villigen, Switzerland).
Woche der Teilchenwelt
Vom 6. bis 12. November 2023 öffnen bundesweit Forschungseinrichtungen und Universitäten ihre Türen für interessierte Besucher*innen jedes Alters.
Physics at the Terascale - Schools and Workshops
The Helmholtz Alliance “Physics at the Terascale” bundles German activities in the field of high-energy collider physics. It is a network comprising all German research institutes working on LHC experiments, a future linear collider or the related phenomenology - 18 universities, two Helmholtz Centres and one Max Planck Institute. One of the Alliance activities is to organise a series of schools and workshops.
Machine Learning Conference
From April 8 to 10, 2024 the Heinz Maier-Leibnitz Zentrum (MLZ) located in Garching near Munich will host the Machine Learning Conference for X-Ray and Neutron-Based Experiments. The application of machine learning (ML) tools for data generated at photon and neutron (PaN) large scale facilities offers new opportunities and challenges. This conference will gather experts from the field of machine learning as well as specialists for the application of neutron and photon beams to discuss their latest research. D
PyHEP 2023
PyHEP 2023 will be an online workshop. It will be a forum for the participants and the community at large to discuss developments of Python packages and tools, exchange experiences, and inform the future evolution of community activities. There will be ample time for discussion.
Past Events
Past Events
2023
Event-Programme 2023
In 2023, the ErUM Data Hub will host exciting workshops and schools in collaboration with DIG-UM. The events are aimed at participants from all ErUM communities and will be held at different locations in Germany.
The 2023 annual program includes three Deep Learning Schools, two Deep Learning Train-the-Trainer workshops and expert workshops on Big Data Analytics, Sustainability in ErUM-Data, Research Data Management, and Next Generation Environment for Interoperable Data Analysis.
Registration and Announcement
Registration for the workshops and schools will be done through Indico Events. The links to the events will be announced here. We look forward to active participation from all ErUM communities. Feel free to distribute the event poster.
Deep Learning Basics
Train-the-Trainer Workshop
Am 7. und 8. Februar 2023 veranstalten der ErUM-Data-Hub und DIG-UM erneut den Deep Learning Basics Train-the-Trainer Workshop. Veranstaltungsort im Jahr 2023 ist München.
Info
Der Workshop findet als Präsenzveranstaltung in München statt.
- 7.02.23 - 8.02.23
- Präsenzveranstaltung in München
Big Data Analytics
Connection Workshop
On February 23-24, 2023, the ErUM Data Hub and DIG-UM will host a Connection Workshop on Big Data Analytics at the DESY campus in Hamburg. The aim is to find synergies between the funded projects (and other activities, such as the NFDI consortia DAPHNE and PUNCH) and to discuss how projects that were not funded in this round can still be realized.
Info
The workshop will take place as a face-to-face event in Hamburg. Registrations are possible as of now.
- 23.02.23 - 24.02.23
- Attendance event in Hamburg
Deep Learning School
Basic Concepts
Vom 27. Februar bis zum 2. März 2023 veranstalten der ErUM-Data-Hub und DIG-UM zum zweiten Mal die Deep Learning Schule Basic Concepts.
Lesen Sie here den Rückblick zu der ersten Deep Learning Schule im August 2022.
Info
Die Schule findet als Präsenzveranstaltung im Landhaus Nordhelle in Meinerzhagen statt und ist auf 50 Teilnehmer:innen begrenzt. Die Teilnahmegebühr beinhaltet Unterkunft und volle Verpflegung.
- 27.02.23 - 02.03.23
- 50 Participants
- Attendance event in Meinerzhagen
Research Data Management
Expert Workshop
Im März 2023 veranstalten der ErUM-Data-Hub und DIG-UM einen Expert Workshop zum Thema Research Data Management in Bonn. Das Datum wird in Kürze bekannt gegeben.
Register now
Der Workshop findet als Präsenzveranstaltung in Bonn statt.
- 13. - 14. März 2023
- Präsenzveranstaltung in Bonn
Next Generation Environment for Interoperable Data Analysis
Expert Workshop
Im März 2023 veranstalten der ErUM-Data-Hub und DIG-UM einen Expert Workshop zum Thema Next Generation Environment for Interoperable Data Analysis in Berlin. Das Programm wird in Kürze bekannt gegeben.
Register now
Der Workshop findet als Präsenzveranstaltung in Berlin statt.
- 03. - 04. Mai 2023
- Präsenzveranstaltung in Berlin
Sustainability in the Digital Transformation of Basic Research on Universe & Matter
Expert Workshop
Vom 30. Mai bis zum 02. Juni 2023 veranstalten der ErUM-Data-Hub und DIG-UM einen Experten Workshop zum Thema Sustainability in ErUM-Data.
Register now
Der Workshop findet als Präsenzveranstaltung im Landhaus Nordhelle in Meinerzhagen statt. Die Teilnahmegebühr beinhaltet Unterkunft und volle Verpflegung.
- 30.05.23 - 02.06.23
- Attendance event in Meinerzhagen
Advanced Deep Learning
Train-the-Trainer
On June 19-20, 2023, the ErUM Data Hub and DIG-UM will host the second Advanced Deep Learning Train-the-Trainer Workshop. Contents and number of participants will be announced shortly.
Register now
The workshop will take place as a presence event at the TU Dortmund University. Registrations are expected to be possible from the beginning of 2022.
- 19.06.23 - 20.06.23
- Attendance event in Dortmund
From August 07 to 11, 2023, the ErUM Data Hub and DIG-UM will again host the Deep Learning School Basic Concepts. Contents and participation fee will be announced soon.
The school takes place as a presence event in the Landhaus Nordhelle in Meinerzhagen and is limited to 50 participants:inside. The participation fee includes accommodation and full board. Registrations are expected to be possible from the beginning of 2022.
- 07.08.23 - 10.08.23
- 50 Participants
- Attendance event in Meinerzhagen
From September 25 to 29, 2023, the ErUM Data Hub and DIG-UM will host the Advanced Deep Learning School in Meinerzhagen for the second time. here den Rückblick zu dem ersten Active Training Course „Advanced Deep Learning“ im November 2022.
The school takes place as a presence event in the Landhaus Nordhelle in Meinerzhagen and is limited to 50 participants:inside. The participation fee includes accommodation and full board. Registrations are expected to be possible from the beginning of 2022.
- 25.09.23 - 28.09.23
- 50 Participants
- Attendance event in Meinerzhagen
This Workshop is hosted by the community organization DIG-UM with support from the BMBF-funded ErUM-Data-Hub.
The goal of the workshop is to get an overview on inverse problems in the ErUM-Data community, to discuss methods to solve them, and to foster exchange and cooperation between the ErUM-communities. In particular, the workshop is intended for early stage researchers.
Der Workshop findet als Präsenzveranstaltung in Garching statt.
- 05.12.23 - 06.12.23
- Präsenzveranstaltung in Garching
2022
Deep Learning Basics
Train-the-Trainer Workshop
On March 30 and 31, 2022, the first ErUM Data Hub Workshop took place in Aachen, Germany. The Deep Learning Train-the-Trainer Workshop included 4 lectures on the topics Deep Learning Basics, Convolutional Neural Networks, Recurrent Neural Networks and Introspection Neural Networks and aimed at training lecturers for future teaching activities and providing material for lectures on Deep Learning.
- Deep Learning Basics
- Recurrent Neural Networks
- Convolutional Neural Networks
- Introspection Neural Networks
Deep Learning Workshop
Train-the-Trainer 2
Advanced Concepts
From June 09 to June 10, 2022, the ErUM Data Hub and DIG-UM hosted the second Train-the-Trainer Deep-Learning Workshop. The workshop was aimed at scientists from all ErUM communities who have prior knowledge in the field of neural networks. The participants showed a high willingness to give Deep-Learning lectures at schools and workshops in the future.
- Graph Neural Networks
- Autoencoders
- Generative Adversarial Networks
- Normalizing Flows
Deep Learning School I
Basic Concepts
Basic Concepts
In August 2022, ErUM-Data-Hub and DIG-UM hosted the first Deep Learning School at Landhaus Nordhelle in Meinerzhagen. In a beautiful ambience, intensive classes on Neural Network Building Blocks, Mastering Model Building, Convolutional Neural Networks, Recurrent Neural Networks and Introspection of Neural Networks were held over 4 days. The school was aimed at beginners from all ErUM communities who have a basic knowledge of physics.
- Neural Network Building Blocks
- Convolutional Neural Networks
- Introspection of Neural Networks
- Mastering Model Building
- Recurrent Neural Networks
Conceptual Advances in Deep Learning for ErUM Research
Conceptual Advances in Deep Learning for ErUM Research
Expert Workshop
Expert Workshop
From 12.09.22 to 16.09.22 the ErUM-Data-Hub and DIG-UM organized a workshop on Conceptual Advances in Deep Learning. The workshop took place at the Hotel zur Post in Wiehl and was aimed at advanced users. The program included the following topics:
- Generative Models
- Reinforcement Learning
- Conservation Laws
- Latent Space in Autoencoders and Normalizing Flows
- Transfer to Analytic Expressions
- Gradient Methods
Active Training Course
Advanced Deep Learning
From 28.11.22 to 01.12.22 the ErUM-Data-Hub and DIG-UM organize the second Deep Learning School. In Landhaus Nordhelle in Meinerzhagen, intensive classes on Graph Neural Networks, GANs, Autoencoders and Normalizing Flows will be held over 4 days. Prior knowledge of neural networks is required. However, participation in the first Deep Learning School is not a prerequisite.
- Graph Neural Networks
- Autoencoder
- GANs
- Normalizing Flows
