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to the Baltic Sea region. Experience in running numerical ocean models and analyzing ecosystem model output. Experience using high-performance computing systems. Familiarity with operating systems such as Linux
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conditions perform risk assessments of emerging and future external conditions analyze digital and other innovations for bundling and logistics processes in agricultural production, processing and marketing
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& data assimilation and / or incorporation of tracers into hydrological models would be advantageous. Access to high-performance computer clusters is available to facilitate use and development of “state
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employees from all over the world. We are looking for a Staff Scientist Position (m/f/d) in Computational Biophysics (Ref 04/2025) Job Description We are looking for a staff scientist with expertise in
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Programme for Women Professors Leibniz Collaborative Excellence Leibniz Transfer funding programme Selection process Funded Projects Open science OPEN SCIENCE Open Access OPEN ACCESS Monograph publishing fund
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they are managed to funders‘ requirements, specification, time and budget; Provide day-to-day high-level support to the „One Health Disease Group“ Lead, assisting in the implementation of robust programme management
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of the presynaptic compartment. In the project genome engineering in stem cell-derived neurons will be combined with high-resolution imaging and systems biology/ proteomic approaches developed in the Haucke lab
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(Seoul National University, South Korea) genome engineering in stem cell-derived neurons will be combined with high-resolution imaging and systems biology/ proteomic approaches developed in the Haucke lab
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international research network Access to high-performance cluster computers Opportunity to contribute to an ambitious research agenda that aims to optimize for expected positive impact for humanity Attractive
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to start 01 April 2025 Research Scientist or PhD Candidate (m/f/d) Soil fauna Leibniz project TrenDiv (65 % PhD / max. 75% part-time position) Within the framework of the research program “Leibniz