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element of leadership and development, and the University systematically strengthens these capabilities to drive strategic change and achieve sustainable impact. In this role, you will further develop
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Behaviour in Turbulent Fluids through Analytical and Probabilistic Methods” (grant number 233216). The successful candidate will investigate both phenomenological and theoretical aspects of turbulent fluids
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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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and causes of infections and non-communicable diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from
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applications. The division is focused on the development and application of novel computational methods at the interface of deep learning and classical biophysical modeling to address relevant topics in drug
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through Analytical and Probabilistic Methods" (grant number 233216). The successful candidate will investigate both phenomenological and theoretical aspects of turbulent fluids, focusing on topics such as
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has seen rapidly growing demand in recent years. In Prof. Torsten Schwede's group, we use computational methods, with a strong focus on artificial intelligence, for modelling of macromolecular complexes
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to develop a research project that fits into the broad scope of bacteria-jumbophage interactions PhD or equivalent degree with ideally a strong component in any of the following areas: microbiology
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-dimensional quantum materials and develop advanced sensing methods for future quantum technologies. You will be embedded in a vibrant, international research group with strong expertise in quantum sensing and