34 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" uni jobs at Leibniz in Germany
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good methodological knowledge in the field of quantitative empirical social research and confident use of statistical programs (preferably Stata) Experience in questionnaire design and data collection as
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
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rheology, tensile testing, DMA, DSC, TGA among others. Training and co-supervising users of the facility. Actively contributing to data analysis. Preserving and developing a Research Data Management Plan
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-oriented research Requirements: strong programming and mathematical skills (or strong willingness to learning them) experience with Mathematica and Python work with models in public economics (e. g. optimal
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The Bernhard Nocht Institute for Tropical Medicine (https://www.bnitm.de/en ) is the largest Research Institute for Tropical Medicine in Germany and is the National Reference Centre for Tropical
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on Agricultural Economics Very good knowledge of crop production systems In-depth expertise in the economic analysis and optimisation of crop production systems (e.g. using linear programming
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management Confident use of MS Office programs and statistical software (e.g., SAS, R, JMP) Ability to work in a team and willingness to cooperate, reliability, flexibility, personal commitment, and ability
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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 and FAIR Data Citizen Science
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with material characterization using microscopy and/or spectroscopy techniques and corresponding data interpretation will be an advantage. Having basic programming skills will be an advantage. Excellent
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by NFDI4Biodiversity, part of NFDI, the German National Research Data Infrastructure Program. The project position is part of our Senckenberg Data and Modelling Center (SDMC) with experts in the areas