Sort by
Refine Your Search
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Nature Careers
- Technical University of Munich
- GSI Helmholtzzentrum für Schwerionenforschung
- Max Planck Institute for the Structure and Dynamics of Matter
- Academic Europe
- Fraunhofer Institute for Wind Energy Systems IWES
- Leibniz
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg
- Technische Universität München
- Uni Tuebingen
- 3 more »
- « less
-
Field
-
Project (PhD Position) – Accelerated Materials Development by Combining High-Throughput and AI Approaches Your Job: The accelerated development of advanced materials is essential for addressing major
-
to accelerate the expansion of the wind energy and hydrogen economy, minimize risks, and increase cost efficiency. Do you want to join us in shaping a sustainable future? What you will do These duties await you
-
to accelerate the expansion of the wind energy and hydrogen economy, minimize risks, and increase cost efficiency. Do you want to join us in shaping a sustainable future? What you will do These duties await you
-
Your Job: The accelerated development of advanced materials is essential for addressing major challenges in energy, mobility, and sustainability. Traditional trial-and-error methods in materials
-
accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world´s largest research projects, is being built in international cooperation. GSI and FAIR offer
-
Your Job: The conventional, manual co-design of algorithms and hardware is slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is
-
: Develop an event-driven RL algorithm that sparsely updates network state and parameters that will significantly improve energy to-solution efficiency compared to conventional digital accelerators when
-
slow and inefficient. Our group develops methods and tools to automate the co-design process. The core of this project is the development of meta-optimization techniques that can automatically search
-
85748, Germany [map ] Subject Area: Physics / HEP-Phenomenology (hep-ph) Appl Deadline: none (posted 2024/08/04) Position Description: Apply Position Description Applications are invited for several Ph
-
Chair of Biological Imaging 07.08.2025, Wissenschaftliches Personal We are now looking for a highly qualified and motivated researcher with an engineering or physics background (f/m/x) and a