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chronic autoimmune diseases of the nervous system. In this project, transcriptome data will be analyzed using state-of-the-art cell-based transcriptomics methods (single-cell RNAseq, single-nucleus RNAseq
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neuroimaging and mc-tCS simulation approaches based on realistic head volume conductor models using modern finite element methods as well as sensitivity analysis. The new methods will be applied in close
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location as a Post-doctoral Researcher (f/m/d) on transdiciplinary methods in agroecological living labs The focus of the advertised position is on identifying and engaging actors and stakeholders within
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Your Job: We are looking for a postdoc to further develop probabilistic, statistical and game-theoretical methods for application in international nuclear safeguards. The tasks include: Connect
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`s degree and PhD in quantum physics, computer science, electrical engineering, mathematics or a related field Experience in quantum computer programming Experience in applying numerical methods and
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interest and motivation for the position (limited to 2000 characters), The email addresses of 2–3 references who can provide a letter of recommendation. For more details about the program (including further
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, and law, with a strong interest in innovative and interdisciplinary research areas. Max Planck Postdoc Program (Postdoctoral positions at Max Planck Institutes) The Max Planck Society invites
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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, computational physics, statistical physics, non-equilibrium quantum many-body physics Ideally, experience with neural quantum states or other applications of machine learning methods in many-body physics
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of a project with limited experimental data points? In addition, how would you combine various computational chemistry methods that can leverage data to enhance potency predictions? With your solution