248 structures "https:" "https:" "https:" "https:" "NOVA.id" Postdoctoral research jobs in Sweden
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distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396). The employment is fulltime for three years. The deadline for applications is March 26, 2026 and the
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between different groups, including those of Sara Linse (Division on Biochemistry and Structural Biology) and Emma Sparr (Division of Physical Chemistry, Lund University). Connections to other experimental
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-emitting devices and other advanced optoelectronic applications. The positions are based in the Green Nanodots Group (https://www.umu.se/en/research/groups/green-nanodots/ ), Department of Physics, Umeå
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structure preserving Finite Element methods for multiphase flows with applications in X-ray tomography. Qualification requirements Requirements are: A PhD, or an international degree deemed equivalent to a
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communication skills with other researchers. You should be goal-oriented, self-driven, structured, have good problem-solving and analytical skills, and be able to work effectively both individually and in groups
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offering a high living standards, access to a sprawling city life as well as the beautiful nature surrounding the city. https://ki.se/en/research/research-areas-centres-and-networks/research-groups/robert
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these languages, are mandatory. Submission site link: https://crp.dsv.su.se/df-postdoc-call/ Eligibility To be eligible, applicants must have: A doctoral degree or an equivalent foreign degree. If you have had
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on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396 ). The employment is fulltime for three years. The deadline
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Umeå 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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science and innovative programming. Read more at https://liu.se/ida You will be employed in the Machine Reasoning (MR) Lab which is one of the units at the division Artificial Intelligence and Integrated