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)physics, chemistry, or a related field. A solid knowledge of the theory of molecular systems and statistical mechanics, as well as skills in molecular dynamics simulations, is highly desirable. Proficiency
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simulations of light-harvesting complexes and membrane proteins. Successful candidates should have a master's degree in theoretical (bio)physics, chemistry, or a related field. A solid knowledge of the theory
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Your Job: Analysis of market dynamics in the context of Innovation Ecosystems and Diffusion Theory Systematic integration of concepts from institutional, behavioral, and resource economics
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Infrastructure? No Offer Description Area of research: Promotion Job description: Your Job: Analysis of market dynamics in the context of Innovation Ecosystems and Diffusion Theory Systematic integration
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Your Job: Adaptive Control Theory (ACT) provides mathematically grounded and robust learning rules, prescribing that neurons should be diffusively forced toward a teacher trajectory and achieve
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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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Science and Social Anthropology. This should aid doctoral researchers in reflecting on the historical conditionality and the constructivist character of theories and the interdependence of theoretical and
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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the traffic flow. The project will build on multidisciplinary methods from traffic flow theory, dynamical systems, and optimal and cooperative control. These methods include accurate detection of queues and