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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoctoral position in Development and application of computational methods
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science. Our core activities is the development X-ray based methods focusing on the evaluation of the structure – property relationship in applications such as biomedicine and space. In the frame of an ESA
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Institute (Swiss TPH) and the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). Project description The COVID-19 pandemic highlighted the need for fast and reliable methods to detect
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for the researcher to follow their own research interests. Candidates will be expected to actively contribute to all departmental activities. Profile: - A formal requirement for the position is a PhD in mathematics
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(Swiss TPH) and the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). Project description The COVID-19 pandemic highlighted the need for fast and reliable methods to detect airborne
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by combining advanced biophysical methods, with a particular emphasis on NMR spectroscopy for structural and dynamic insights into intrinsically disordered proteins, as well as complementary
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, focusing on the theory of automorphic forms and having strong interest in formalization of mathematics. The anticipated starting date is Summer 2026 and is flexible; the initial duration of the position is 1
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 3 hours ago
change. To measure biodiversity, you will use cutting-edge DNA-based methods, such as e-DNA metabarcoding of fungi, from soil and dead wood, and detecting arthropods and mammals from vegetation surfaces
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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Institute (Swiss TPH) and the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). Project description The COVID-19 pandemic highlighted the need for fast and reliable methods to detect