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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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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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-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
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evolution of gene regulation. Besides using a variety of quantitative techniques including flow-cytometry and in-lab evolution, our lab has developed cutting-edge methods that combine microfluidics with time
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diseases. To understand and promote the well-being of people in different cultural and environmental contexts, EPH applies various methods ranging from anthropology and social science to biostatistics and
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Methods" (grant number 233216). The successful candidate will investigate both phenomenological and theoretical aspects of turbulent fluids, focusing on topics such as Lagrangian spontaneous stochasticity
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techniques: NMR spectroscopy for atomic-resolution insights in solution Single-molecule FRET for time-resolved, single-molecule dynamics This unique combination of methods is achieved by the synergy
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) methods applied to study hematopoiesis, such as drug administration via i.p, s.c. and i.v., blood sampling, bone marrow transplantation, tissue harvest and s.c. implantations, is highly recommended