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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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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
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Physics, Applied Mathematics, or a related field keen interest in theoretical biological physics programming skills and first experience in data and image analysis excellent communication and presentation
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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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, 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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PhD Researcher in Theoretical or Experimental Pragmatics / Cognitive Science (m/f/d, E 13 TV-L, 65%)
probabilistic models of pragmatic language use and interpretation. This work involves philosophical / linguistic analysis, experiments with human participants, and mathematical / statistical modeling
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economics, mathematics, business/management, physics, psychology, IT, or related fields • Outstanding quantitative skills (profound knowledge of stochastics and calculus is mandatory; knowledge of game theory