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Field
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, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners
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physics, biology, chemistry, and mathematics at an undergraduate level. In addition, the courses also require basic knowledge in the social sciences. Courses are offered by academic staff at both
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models and/or model components. They apply mathematical models to answer specific research questions, analysing dynamics and processes in the natural system and its interaction with the anthroposphere
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interdisciplinary training for PhD students. The programme supports you in pursuing innovative PhD projects with a strong application-oriented focus, ranging from mathematics, computer science, bio/life sciences
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of systemic neurosciences: single cells to complex systems system analysis to mathematical modelling perception and cognition to mind and neurophilosophy biology to technical solutions Additional support is
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with high-dimensional, often noisy, data sets; and mathematical modelling approaches that reduce the dimensionality of parameter spaces and produce mechanistically realistic, experimentally testable
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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
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artificial intelligence, biology, (cognitive) neuroscience, genetics, linguistics, mathematics, neurobiology, neuroimaging, neurology, neurophysics, philosophy, physics, psychiatry, and psychology
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, mathematics, or a related field Very good skills in the English language Strong background in at least one of the fields relevant for research at ConVeY: Control theory Formal methods in computer science
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institution of the Departments of Business Administration and Economics, Mathematics, Physics, and the Center for Mathematical Economics at Bielefeld University. As an umbrella organisation of several