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The Leibniz Institute for the History and Culture of Eastern Europe (GWZO) conductscomparative research into historical and cultural developments and processes in the region between the Baltic Sea
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to the TV-L collective agreement. The project aims to investigate the interplay of linguistic and bodily resources in communicative action during social interaction, with a focus on comparing the
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, and how previously stressed ecosystems recover. The relevant subproject within Resist will focus on macroinvertebrate metacommunity structure and larger scale trends in macroinvertebrates, fish and
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(Eye Tracking, Speech, and Vision) 2. Research in Eye-Tracking Technology and Smart Glasses 3. Human-Centered Generative AI 4. Human-AI Interaction Who We Are Looking For: We seek highly motivated and
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. The position is associated with the project “Probabilistic Reasoning about Common Ground” under the auspices of the Collaborative Research Center “Common Ground” (CRC1718), which is funded by the German Research
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interconnectedness and cultural heterogeneity that characterize Latin America. The focus on the aspirations and anticipations of various actors whose interactions produce new temporalities of the future offers an
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-organic frameworks, and their physicochemical properties. State-of-the-art spectroscopy techniques are used to enhance the understanding of interactions at the molecular level. The focus is on diffusion and
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Max Planck Institute of Biophysics, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 2 months ago
-nucleic acid interactions (the candidate with prior experience in structure biology and protein expression and modification is preferred. Experience in programming is a plus.) TIRF-based single molecule
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structure- and ligand-based drug design methods (e.g., docking, QSAR, classic molecular dynamics, etc.) Familiar with all aspects of protein-ligand interactions. Solid python programming knowledge and good
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object interaction (using environments such as MuJoCo, PyBullet, or NVIDIA Isaac Sim) Adaptive feedback control using learned and analytical models Physics-informed machine learning for deformation