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one of the programmes. It is home to a community of over 100 PhD, postdoctoral and Professorial researchers working on diverse themes related to sustainable cities and resilient infrastructure systems
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Your profile We are looking for talented candidates with a doctoral degree and a background in microbial ecology, forest biology or something similar. Candidates are expected to have experience in fungal ecology, (meta-)genomics, bioinformatics, and multivariate statistics. Experiences in forest...
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and validation through indoor and outdoor experiments. Your profile We seek a highly motivated and dedicated postdoctoral researcher with a PhD (or equivalent) in robotics, materials science/engineering
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ETH Zurich, Mathematics Position ID: 1118 -POSTDOC [#25919] Position Title: Position Type: Postdoctoral Position Location: Zurich, Zurich 8092, Switzerland [map ] Appl Deadline: 2024/12/15 11:59PM
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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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motivated Postdoctoral Researcher to join an applied research project focused on the development of AI/ML-based methods for the automation of laser processing techniques. In close collaboration with our
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, Switzerland) is offering a 3-year postdoctoral position. Main duties and responsibilities This position is part of the Swiss National Science Foundation "Shuffle algebra techniques in representation theory
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. Founded in 1460, the University of Basel is the oldest university in Switzerland and has a history of success going back over 550 years. The institute invites applications for a postdoctoral position as
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open-source platform redefining how viral sequence data is shared and governed globally, powered by the modular, federated backend database software Loculus This is a computational position focused on
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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