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The Friedrich Schiller University Jena is a dynamic and innovation-driven university centrally located in Germany. With a broad range of disciplines, it shapes the future through excellent research
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
the institute focusses on the structure and dynamics of elementary processes in solids and at surfaces. Within this broader research theme, the Nonlinear Chemical Imaging (NCI) group of Dr. Alexander Fellows
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Your Job: QENS and INS experiments to investigate the diffusion dynamics of water and ligand molecules on metal oxide nanoparticle surfaces, accompanied by complementary experimental techniques
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of the occurrence of rare events, as well as model simplifications and associated a posteriori error estimate. This will mainly rely on the construction of optimal control strategies associated to the large deviation
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a dynamic and collaborative team, you will: Compare and refine vaccine candidates in collaboration with structural biologists and bioinformaticians Evaluate vaccine-induced immunity in vivo, focusing
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The Max Planck Institute of Molecular Physiology seeks to fill: PostDoc Position (m/f/d) in Structural Biology of Membrane Protein Complexes A fully funded postdoctoral position is available in
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natural products for further investigation. The candidate will assist in the isolation and purification of natural products and the subsequent structural elucidation using NMR. When beneficial, chemical
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 1 month ago
Job Code: 2025_09 Job Offer from July 18, 2025 About the department The research group of “Structure and Dynamics of Chromosomes” led by Eugene Kim at the Max Planck Institute of Biophysics is
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that integrate domain knowledge to support structured chain-of-thought processes Benchmarking and validating models against domain-specific tasks such as retrieval, summarization, metadata extraction, and
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theoretical and practical experience with machine learning methods, especially for training of machine learning potentials - development and utilization of ab initio electronic-structure methodology - previous