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of the structure – property relationship in applications such as biomedicine and space. In the frame of an industrial project, we are looking for a postdoc holding a PhD in material science, physics or chemistry
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) distributional generalization, transfer learning, causality Multi-objective settings and alignment, RL theory Statistical learning theory, optimization (e.g., implicit bias) Robustness (broadly defined), privacy
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100%, Zurich, fixed-term The Computational Design Lab is an interdisciplinary research group at ETH Zurich, led by Prof. Dr. Bernd Bickel . We develop novel algorithms and next-generation
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CERN, Theory, and LPENS (Laboratoire de Physique de l’École Normale Supérieure) Position ID: CERN-Theory-POSTDOC [#31448] Position Title: Position Type: Postdoctoral Position Location: Geneva
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, financial networks, e-democracy, voting, social networks, online analysis with delay, and theory of distributed algorithms. In our group, we work on both theory and practice: some members of our group focus
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. A strong placement record of former students and postdocs at leading international business schools (see Professor Brendl's CV online). An environment that values careful thinking, conceptual depth
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earth observation technologies. Our researchers develop cutting-edge algorithms and AI-based solutions for data processing and validation and provide scientific expertise for the implementation of future
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, Switzerland, we are seeking a highly motivated and enthusiastic Postdoc. You will have a unique opportunity to collaborate across scientific and organizational boundaries with a focus on developing powerful
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develop cutting-edge algorithms and AI-based solutions for data processing and validation and provide scientific expertise for the implementation of future remote sensing missions. The team’s work bridges
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experience. Strong programming skills in Python and experience with modern ML stacks (PyTorch, HuggingFace, distributed training). Experience in LLMs, vision–language models, multimodal learning, or clinical