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INSAIT - The Institute for Computer Science, Artificial Intelligence, and Technology, INSAIT Position ID: INSAIT -INSAIT -POSTDOC [#28768] Position Title: Position Type: Postdoctoral Position
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. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating with CSEM and EPFL in a Swiss National Science Foundation (SNF) Bridge Project. Your
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. Your key responsibilities will be: Research and development of the Urban-scale Building Life-cycle Carbon Calculator web app, advised by Prof Rudi Stouffs (NUS) and Dr Pieter Herthogs (SEC). This work
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candidate will actively participate in the discussions and events organized within the Futures Interrupted program in Basel and abroad. Background and/or interests include (but are not limited to): political
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of Psychology. There is a broad focus of research and teaching in the lab, including computational photography, media studies, science and technology studies, videogame studies, critical making and design, AI and
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programmes: Future Cities Laboratory, Future Resilient Systems, and Future Health Technologies. The centre provides a multicultural and interdisciplinary environment to researchers working on diverse themes
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. Utilizing a combination of experimental and computational approaches, we develop and characterize novel functional materials and devices driven by robust nanoscale quantum effects. We are currently seeking a
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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
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-read (Illumina) and long-read (Nanopore) platforms; implement hybrid metagenomics assembly strategies using high-performance computing infrastructure • Coordinate/supervise sample collection (clinical