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machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 The PhD focuses on safe and reliable loco-manipulation for mobile and interactive robots such as humanoids. While learning-based methods enable advanced locomotion and manipulation, deploying them
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) at Heidelberg University, the following position (75%) for up to 3 years is to be filled by 01.01.2026 PhD position (f/m/d) in Vector-Borne Disease Modelling The place of employment is Heidelberg, in the Climate
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) simulations will also be performed for the investigations. Furthermore, machine learning can be tested to accelerate MD simulations. In this project, you will be responsible for the following tasks in
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Degree PhD, Dr Course location München In cooperation with TU Munich Teaching language English Languages Participants can fulfil requirements in English only, but some German courses are available
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2 PhD Positions in Ultrafast Spectroscopy of Chiral Organic Molecules at Heidelberg University (f/m/d) (50%) 2 PhD positions are advertised at the Institute for Physical Chemistry in the research
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computational optimization of additively manufactured Mg alloys for biodegradable implant applications. Host: Helmholtz-Zentrum Hereon, Geesthacht, Germany, with PhD degree awarded by Kiel