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required. We offer excellent opportunities to network within the institute and to develop new initiatives. Teaching responsibilities include the field of physical oceanography to be represented in
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, Statistical Physics, Genome Annotation, and/or related fields Practical experience with High Performance Computing Systems as well as parallel/distributed programming Very good command of written and spoken
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: − independent execution of an innovative Postdoc research project within the framework of the IRTG, with the goal of completing within the contract period; − publication of the research results in internationally
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), and computational modeling (deep neural networks). We apply multivariate analysis methods (machine learning, representational similarity analysis) and encoding models. Job description: This is an open
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Master-Thesis: Machine Learning-based Heating Curves for Heat Producers in District Heating Networks
address the challenges posed by global warming. In this context, district heating networks (DHNs) play a major role since they can realize fully decarbonized heat supply utilizing various distributed heat
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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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Your Job: ...to revolutionize applications of the physical sciences through tailored large language models (LLMs) and intelligent agentic systems. Your tasks in detail: Development and fine-tuning
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further both professionally and personally in an interdisciplinary setting. Position DWI invites applications for a position as PhD student (f/m/d) in the field of polymer chemistry and physics Starting
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uncertainties, limited resources and growing demand. The DryHy project ( https://www.dryhy.de/de ) is investigating an innovative process chain for the production of green hydrogen and methanol. In order to
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Your Job: Building on in-house fabricated devices, we have recently demonstrated the ability to shuttle electrons between gate defined quantum dots in Si/SiGe over micron-scale distances using only