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Knowledge of cloud physics and/or boundary-layer processes/ atmospheric turbulence. We are open to excellent and highly motivated applicants without specific experience in atmospheric or meteorological
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crosslink highly diverse bioeconomic production systems and to control them in a knowledge-based, adaptive, and largely automated manner. We conduct research in dialogue with society - knowledge-motivated and
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or interest in game theory, tax competition and fiscal federalism, welfare economics, environmental economics, public economics is a plus Ideally Working knowledge of programming languages such as Mathematica
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
The Leibniz-Institut für Wissensmedien (IWM) conducts research into the acquisition and sharing of knowledge and cooperation with digital media. The institute is a member of the Leibniz Association
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The Leibniz-Institut für Wissensmedien (IWM) conducts research into the acquisition and sharing of knowledge and cooperation with digital media. The institute is a member of the Leibniz Association
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brain imaging data (volumetric and surface-based) Neuroscientific knowledge is welcome but not necessary Ability to work independently and self-driven in a team Enjoy working in a productive
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sciences / analysis, system or process engineering, or related fields with a subsequent doctorate Excellent knowledge of API programming and automation engineering such as LabVIEW and/or EPICS Advanced
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
the Center, and they will contribute their skills and knowledge to other projects in the Center and to the MPIDR. We are seeking creative, self-driven, and collaborative scholars. Good knowledge
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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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for physics and materials science applications scenarios as well as for related research data management tasks Developing LLM-driven agents that integrate domain knowledge to support structured chain-of-thought