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transfer, or related activities Demonstrated scientific achievements, for example through publications, project leadership, or international collaborations Strong organizational and project management skills
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arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care Wide range of health, prevention and sports offers Contact & Application Interested? We
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13.07.2026, Academic staff The Chair Group of Production and Resource Economics at the TUM School of Life Sciences Weihenstephan and the TUM School of Management offers a position as Postdoctoral
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» Public policy Environmental science » Natural resources management Geography » Human geography Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 10 Aug 2026
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of Tübingen insofar as it does not interfere with the necessities of functioning as a team member. Interested? Please submit your application by using the application tool. The application should include CV
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scheme (VBL) 30 days vacation Sustainable travel: job ticket Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with
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magnetic states and excitations in quantum magnets. Develop methods for the analysis of large datasets and comparison with theoretical models. Perform numerical simulations to interpret experimental results
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beam-conditioning concepts, including grazing-incidence mirrors, multilayers, monochromators, slits, and adaptive focusing optics Perform ray-tracing and numerical simulations of beam transport
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accelerator physics or equivalent field Strong background in beam dynamics and FEL physics Experience with accelerator simulation tools (e.g. Ocelot, Elegant, Genesis, ASTRA) Experience in accelerator operation
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 2 months ago
simulations. revealing the impact of plumes in the Southern Ocean model biases and historical trends to improve the models’ ability to reproduce the observed historical trend. validate model performance against