928 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "https:" "University of Kent" uni jobs in Germany
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of Geosciences starting as soon as possible. The preferred candidate should have carried out research in primatology, focusing on behavior, ecology, evolution or genetics of non-human primates. Well-documented
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Association with an international reputation and globally networked research infrastructure. It is active in three closely interlinked fields: collection-based research, collection development and cataloguing
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1 Apr 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description About
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: https://uni-tuebingen.de/en/213700 Please submit your entire application using the web-based application platform https://berufungen.uni-tuebingen.de. The deadline for applications is 26 February 2026
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of cell and immunotherapy; the successful candidate is expected to play a key role in further developing this field at the Mannheim and Heidelberg campuses. In research, the W3 professorship for transfusion
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your work, you support the research of scientific guests at the MLZ. You will not be alone in this, but you will be supported by technicians and software developers. Furthermore, in cooperation with
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Your Job: Strategic development of the research field on material availability in global energy system transformations, building on the content of the ERC Starting Grant Independent project
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evaluations may be found in our guidelines for review under the following link: https://uni-tuebingen.de/en/134275#c2482323 The University of Tübingen is committed to equity and diversity and actively promotes
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. Candidates are expected to have a strong background in evolutionary theory and in computational approaches to human bio-cultural diversity and evolution. The successful candidate will take an active role in
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data