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for a doctoral candidate with the following qualifications: Master's degree in meteorology, physics, mathematics, computer science or an equivalent scientific or mathematical discipline Very good
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positions to pursue PhD projects in the areas of biology, chemistry, physics, mathematics or computer science. We are looking for young scientists with a vivid interest in interdisciplinary projects to image
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number theory Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics Applied analysis Mathematics for AI Course organisation The BMS programme is
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projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biophysical approaches and the generation of mathematical models to the development of new
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economics or a related discipline from a reputable university Strong knowledge in econometrics / applied mathematics / applied quantitative methods, with the ability to apply this knowledge to real-world
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chemistry, biophysical analysis via optical spectroscopy as well as the detection of nucleic acid in homogenous solution and in situ. The project also involves fluorescence microscopy and flow cytometry and
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offers interdisciplinary approaches to biomedical research with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation
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into the following sections: A - Algebra, Number Theory and Logic B - Analysis and Differential Equations C - Discrete Mathematics D - Geometry and Topology E - Numerical Mathematics and Scientific Computing F
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biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data-driven simulation with physics
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Degree PhD (Division of Mathematics and Natural Sciences) or, alternatively, Dr rer nat Course location Göttingen In cooperation with Max Planck Institute for Multidisciplinary Sciences (MPI-NAT