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administration, archiving and management of research data Your profile A completed PhD degree in history, media studies, STS or other relevant disciplines and/or in relevant fields of the humanities and
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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looking for a committed and motivated Postdoctoral Researcher (f/m/div) in the Field of Organic Vegetable Production Reference number 19/2025/4 The position is to be filled as soon as possible and is
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-temporal overlaps in the presence of both human and marine mammal activities. By using sighting data and ship positional data, as well as passive acoustic recordings, the project will provide an overview
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time models, including options close to full-time, allow you to tailor your working hours to suit your individual needs. For more information, visit: https://go.fzj.de/near-full-time LEAVE: You will
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(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
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The University Medical Center Göttingen (UMG) unites the Medical Faculty of the Georg-August University and the University Hospital in an integration model. With around 9,700 employees, the UMG and
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conventional electrolytes. This position is part of the Einstein Visiting Fellowship of Professor Mark. E. Tuckerman from New York University, and the project will be in collaboration with Professor Tuckerman
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
focusses on using nonlinear light-matter interactions to probe the complex structure within 2D assemblies of biomolecules. The group currently invites applications for an open position as a Postdoctoral
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and skills: You hold a PhD in Bioinformatics, Computational Biology, Genomics or a related field. You bring proven expertise in deep learning and statistical modelling of biological data. You have