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Field
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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-impact peer-reviewed journals and contributing to project deliverables Engaging with academic, industry, and policy stakeholders to disseminate findings. We are looking for candidates who offer: A PhD in
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approaches Develop models to address the dynamics of electrons, excitons, and photons in atomic-scale optical environments (e.g., quantum master equation, Lindblad formalism) Integrate results of ab-initio
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-epidemiological methods on human study populations to identify molecular mechanisms that can serve as future targets for early detection, prevention, and treatment. Our lab is at the forefront of Alzheimer’s
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. Skills: Qualitative research methods in education, particularly conducting and analyzing interviews Ability to write formal papers and present talks at conferences Ability to communicate and network
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investigating the translational potential of genetic discovery. We have access to extensive biosample collections and use advanced omics technologies and genetic-epidemiological methods on human study populations
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otolith-based method and relate FMR to oceanographic and ecological conditions along north-south and fjord-offshore gradients in East Greenland. Experience with isotope analyses and arctic field work
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are integrated into the junior faculty of the Department of Economics at LMU. The position has no formal teaching obligation; however, limited teaching is encouraged. Candidates should hold a PhD in economics or
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about the financialization of capitalism, it often neglects the extremely profitable informal, illegal, and illicit financial markets, which are increasingly connected to formal global finance
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focused on integrating generative AI (e.g., LLMs) with symbolic reasoning, where the latter can verify the output of the former is compliant with explicit and formal system constraints. The position is