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international training environment. PhD students will work with leading scientists in the field and benefit from their complementary expertise in theory and experiments involving the various messengers
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Max Planck Institute for the Study of Crime, Security and Law, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | 21 days ago
dedicated to innovative, theory-driven, and transparent research that adheres to Open Science standards. Your requirements A completed (or nearly completed) university degree (Master's or equivalent) in
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machine learning approaches. These are similar to earlier work on charge and excitation energy transfer (see https://constructor.university/comp_phys). The project for the PhD fellowship is slightly more
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-harvesting complexes. The research will use a combination of quantum and molecular dynamics simulations, electronic structure calculations, and machine learning approaches. These are similar to earlier work
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or comparable fields Good knowledge of quantum theory, ideally quantum information theory Organizational and communication skills Ability to work independently in interdisciplinary teams Good written and spoken
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, and theory groups to optimize water electrolysis using the knowledge obtained in the project The following publications are related to the work to be performed within this project: doi.org/10.1039
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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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06.11.2025, Wissenschaftliches Personal About the PhD Researcher Position We are looking to hire a PhD researcher to join our team and work on two main projects in an international context. PhD
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. D. positions funded by the ERC (European Research Council) to work on the 'EFT-XYZ' (Effective Field Theories to understand and predict the Nature of the XYZ Exotic Hadrons) project-advanced-ERC-2023
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to explain biological phenomena and disease mechanisms by leveraging biophysical theory and mechanistic, mathematical modeling. Our interests include the inflammatory responses to infection, the organization