34 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Tübingen in Germany
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26.01.2026 Application deadline : 11.03.2026 The Faculty of Science at Tübingen University invites applications for a W3-Professorship in Early Hominin Evolution (m/w/d) at the Department
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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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. 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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information are available on the group website: https://uni-tuebingen.de/en/216610 Additional comments The University seeks to raise the number of women in research and teaching and therefore emphatically calls
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is highly desirable. Experience in Plant Biology and/or Molecular Plant-Microbe Interactions is not required ; you will be introduced to the field by us. Candidates looking to develop their own ideas
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particle physics. In all of these areas, methodological development through machine learning is taking place — for example, in predicting the evolution of complex molecular systems over long timescales
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programme, please see https://uni-tuebingen.de/en/faculties/faculty-of-science/doctoral-studies/ and https://www.phd.tuebingen.mpg.de/imprs? Assessment Submitted applications will be reviewed by IMPRS
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts
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machine learning tools for the efficient analysis of the experimental data. For more information, visit our web page www.soft-matter.uni-tuebingen.de We are looking for a motivated PhD student to contribute
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of molecular and biological matter using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts