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approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key qualifications include: Strong research experience in deep learning
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, and the development of new model architectures or learning approaches. Experience with tabular foundation models or foundation models for structured data is particularly relevant to this position. Key
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lab members, the group's organoid/tissue-engineered infection models (airway, gut) to prioritize physiologically relevant hits Co-supervise PhD students and contribute to method development, data
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8 Sep 2026 Job Information Organisation/Company EPFL Department Civil Engineering Research Field Engineering Environmental science Researcher Profile Recognised Researcher (R2) Positions Postdoc
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London, and with a strong team of postdoctoral researchers and PhD students Generous access to frontier AI models and high-performance compute for proof-assistant workloads Funded travel for collaboration
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Position Description Position Description The research group of Professor Mikaela Iacobelli in the Department of Mathematics at ETH Zurich invites applications for a two-year postdoctoral position
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-world buildings, data analysis, and modeling. Candidates with complementary expertise who are interested in developing new research directions within the broader field of indoor air quality are also
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, environmental modelling and geospatial data science. The position is part of Vertical Africa (VERTICAF), an interdisciplinary research project funded by the Swiss National Science Foundation (SNSF). We
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improve high-throughput experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate