180 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" PhD positions in Sweden
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You apply through our recruitment system on 30 March 2026, at the latest (https://umu.varbi.com/en/what:job/jobID:905098/ ). The application, written in English, should include: A short (max 2 pages
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2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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role of forests in climate change are now key social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is
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to begin on 1 September 2026 Find more information about the project here: Gender Struggles in the New Conjuncture For more information about the PhD-program: https://www.gender.lu.se/research-0/doctoral
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to national environmental and climate goals as well as to the Sustainable Development Goals. We are situated at Campus Ultuna in Uppsala and in Skara. Read more about the department here (https://www.slu.se/en
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Stage Researcher (R1) Application Deadline 23 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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15 Jan 2026 - 12:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Division of Infection Medicine The research group in Structural Infection
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. The department has approximately 160 staff members, of which 30 are PhD students. For more information, visit https://www.umu.se/en/department-of-ecology-and-environmental-science/
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or related domains, will be seen as a strong advantage for applicants. Proficiency in programming (C/C++, OpenGL, R) and experience in data mining or machine learning will be considered advantageous, wherein