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sequencing data from up to 10,000 trees. We are using birches (Betula) as our model organism, as they have a relatively small genome, they are adapted to their local environments and there are accelerated
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researcher offers a high-class and supportive research environment at The Centre for Research on Ethnic Relations and Nationalism (CEREN) in the Swedish School of Social Science, opportunities for national and
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. How to apply Applications are to be sent as a single PDF-file by August 15, 2025, using the University’s recruitment system via the button “Apply now”. The application should include a short cover
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postdoctoral researcher, you will lead a subproject which involves screening mutation events from large genomic datasets and analysis the effects of the identified mutations using existing software as
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include a short cover letter describing your expertise and motivation for the position, a CV (max 2 pages), and the names and contact information for at least two references. Applications will be reviewed
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familiarity with multimodal data fusion is highly desirable Familiarity with the AMD ROCm software stack is considered an asset Ability to work independently, as well as collaboratively in interdisciplinary and
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of the hosting supervisor. As a NORPOD Fellow you will travel for short or long-term stays to the collaborating supervisor's lab to promote collaboration and carry out parts of the research project. You will gain
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short stays at the Kim group at DANDRITE, Aarhus. Successful candidates are expected to travel between the labs to conduct work required for the research project, foster synergies and advance our goals
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will involve short stays at Dwibedi’s group at MIMS, Umeå. Successful candidates are expected to travel between the labs to conduct work required for the research project, foster synergies and advance
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at the Department of Applied Physics at Aalto University. The position is fully funded by the ERC project SWARM. Our research focuses on developing new cutting-edge techniques to probe the forces and flow in small