283 computer-science-intern "https:" "https:" "https:" "https:" "University of Cambridge" Postdoctoral positions in Sweden
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leave of absence. Record of collaboration with the society of which Luleå University of Technology is part of, as well as national and international experience and mobility are highly rated. You should have gained
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science
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that you will help us to build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics ) at the Department of Computer Science
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imaging, computer vision, and predictive modelling. The postdoc will further develop an existing rumen‑fill scoring algorithm into a functional prototype and pilot the technology for longitudinal monitoring
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18 Jan 2026 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Electrical Engineering Research Field Chemistry Engineering Computer science
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Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform excellent and
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Sciences. At the division, we conduct research and education on the energy generation, conversion, and utilization in different electro- and thermo-mechanical systems where the study of heat transfer, fluid
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
trachomatis and either host cell-autonomous immunity or advanced culture models. ENVIRONMENT The postdocs will join the group of Dr. Barbara Sixt (Sixt Lab ), a highly international research team that is
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24 Jan 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Language sciences » Linguistics Language sciences » Other Psychological
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials