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Your Job: Synthesis and physicochemical characterization of energy materials or representative model systems Characterization of the dynamical and structural properties of energy materials with a
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biodiversity in Earth system dynamics – to serve science and society” Senckenberg stands for curiosity-driven and application-oriented collections-based research. The Department of River Ecologyand Conservation
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independent policy advice on all aspects relating to the structure and functioning of the financial system. It aims to contribute to strengthening a sustainable and resilient financial system that drives
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
inequalities it leverages linked family-based data, natural experimental designs, genetically-informed social epidemiological data, advanced dynamic modelling techniques, and a combination of theoretical
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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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partial differential equations A team-oriented, structured, and organized work approach Enthusiasm for interdisciplinary projects Optional, but helpful for certain topics: experience with Lattice-Boltzmann
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. Investigate the interplay of hydrodynamics, biogeochemistry, SPM and seagrass itself, either in hindcast mode of scenario simulations In addition, your research will provide a structured framework of storylines
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knowledge of computer and system architecture, as well as performance engineering. • Pleasure in taking responsibility, independent and structured way of working, high commitment, communi-cation and team
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participate in the university's self-administration and the structural tasks of the institute. You will be actively supporting our EV Powertrain team, which focuses on research related to high-voltage batteries
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-processing, and machine learning textual analysis of the full text of policy documents. Qualitative content thematic analysis is envisioned to compliment structural topic modelling to identify strategies and