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and administrative duties. Requirements: very good university degree in mathematics, preferably with a focus on probability theory or analysis; curiosity and strong interest in rigorous, methodical
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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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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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and motivated theoretical biological physicists who ask how physical mechanisms shape functional biological patterns. We combine statistical physics, nonlinear dynamics, mathematical modeling and data
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Master’s degree (or equivalent) in mathematics, computer science, physics, or related field. Sound knowledge in (scientific) machine learning, and knowledge in numerical analysis and numerical linear algebra
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modern models beyond the worst case e.g. integrating machine learning into algorithm design. We are looking for candidates with a strong mathematical background, an excellent degree in mathematics
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knowledge of control theory, including linear, nonlinear, and optimal control Excellent mathematical, analytical and problem-solving skills Basic knowledge of robotic manipulator mechanics and control
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knowledge of control theory, including linear, nonlinear, and optimal control Excellent mathematical, analytical and problem-solving skills Basic knowledge of robotic manipulator mechanics and control
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applied engineering aspects of spaceflight systems modeling and motion analysis, with an emphasis on advanced visualization techniques for both rotational and orbital dynamics. The research will address