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encompasses a comprehensive spectrum of preservation, preparation, and restoration methods, thus offering a diverse field of activity and considerable potential for further development at one of the world's
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policy impact evaluation, systematic reviews, or evidence synthesis is an asset; Knowledge in statistical software (e.g., R, STATA, or Python) is an asset; A sound understanding of econometrics, meta
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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research questions a strong collaborative spirit and enjoyment working closely within a diverse research team intellectual curiosity, creativity, and an openness to exploring new methods and
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proficiency in data analysis and statistical software packages. You fit to us: If you have a strong scientific curiosity and motivation. If you have enthusiasm for exploring new areas of research. If you are
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founded research area of "Digital Technologies" with a focus on computer-aided high-throughput methods and AI-supported model development presentation of scientific results at international conferences and
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reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust methods to quantify the propagation of domain uncertainties in
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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within an interdisciplinary research team Your Qualifications: University degree (PhD, M.D., or equivalent) in Biology, Life Sciences, or Biomedicine Strong motivation and a genuine interest in stem cell
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. The research will adopt a qualitative, community-based research approach. Depending on the specific context, the following methods will be applied: In-depth semi-structured interviews with rural community