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EPFL - Ecole Polytechnique Fédérale de Lausanne, Chair of Stochastic Analysis Position ID: EPFL-POSTDOC [#27659, 1898] Position Title: Position Type: Postdoctoral Position Location: Lausanne
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position is a PhD in mathematics, - A background in probability theory / stochastic analysis / PDE theory would be extremely beneficial. - Proficiency in English is required. We offer: - A stimulating work
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ETH Zurich, Mathematics Position ID: 1118-PDAPDE [#26975] Position Title: Position Type: Postdoctoral Position Location: Zurich, Zurich 8092, Switzerland [map ] Subject Area: Analysis and Partial
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storage. Their performance relies critically on the ability to store electrons in robust, cost-effective, and highly soluble redox-active organic electrolyte molecules. Our project aims to advance
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to exploit some of the cutting-edge experimental and computational methods, comprising constraint-based and kinetic modeling, statistical analysis of large datasets, high-throughput metabolomics, time-lapse
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supports the development of critical thinking, data analysis, problem-solving, and project management skills while contributing to the broader academic community through publications and presentations
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expertise in cell culture and mouse studies. As the work involves the analysis of spatial transcriptomic data, basic expertise in computational biology, with experience in R and/or Python will be beneficial
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collaboration with international partners and the ETH team, your role in this project will involve research on the adaptation and acclimation potential of spruce, using tree-ring analysis, stable isotope
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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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pathogens such as viruses, bacteria, and fungal spores. Current approaches are slow and labor-intensive, often relying on culture-based analysis that requires several days. This project aims to further design