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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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                results and conduct analytical modelling and numerical simulations (e.g., finite element modelling) to support experimental findings and predict performance. Independently implement and execute the research 
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                results and conduct analytical modelling and numerical simulations (e.g., finite element modelling) to support experimental findings and predict performance. Independently implement and execute the research 
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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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                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 
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                hydrogen detection: development of a field-deployable electrochemical method, benchmarked against lab-based approaches. Area 3 (Contact Person Dr Andreas Borgschulte ) Hydrogen permeation in model systems 
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                in planning and conduction of patient-oriented, clinical research projects Very good knowledge of clinical and/or epidemiological study methodology and design Good knowledge in statistical methods and 
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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