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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 1 month ago
Description The Swiss Federal Institute for Forest, Snow and Landscape Research WSL is part of the ETH Domain. Approximately 600 people work on the sustainable use and protection of the environment and on
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applications such as responsive nanomaterials or targeted drug delivery, requires the development of bespoke motor architectures that are highly robust, scalable, and energy-efficient. Towards this goal, our
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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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. Requirements: PhD in Vascular Biology, Cell Biology, Mechanobiology, or a related field Solid expertise in vascular biology, ideally complemented by knowledge of mechanobiology and microfluidic engineering
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therapeutics, a passion for drug discovery and development, and the ability to integrate effectively into a multidisciplinary team through collaborative exchange and discussions. Requirements: PhD in Chemical
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computational models and collaborate closely with lab teams. Publish research findings, present at conferences, and support PhD students. Help shape new research proposals and assist in securing funding. Your
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, selectively captured using antigen-specific monoclonal antibodies, and detected and quantified via flow cytometry. The postdoctoral researcher will work closely with an ongoing PhD project at the University
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mechanical experiments & hydrogen embrittlement: fracture toughness and fatigue crack growth experiments under high-pressure hydrogen environments, considering microstructure conditions of pipeline steels and
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through structure-activity relationship (SAR) studies. Work in a multi-disciplinary environment (collaboration with biologists, organic chemists and computational chemists). Writing of scientific
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employer, UNIL encourages excellence, individual recognition, and responsibility. Your qualifications Essential PhD degree in Accounting or related field (e.g., Economics, Finance, and Management) Excellent