172 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "UNIV" PhD positions in Sweden
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Högskoleförordningen 5 Chapter 1-7 §§ and in the University rules http://regler.uu.se/ . The rules of the doctoral program are found in the General Curriculum of the Doctoral Program in Human Geography (Allmän
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Uppsala. Read more about the department: Department of Forest Bioeconomy and Technology | slu.se Read more about our benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work
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: https://www.slu.se/en/about-slu/organisation/departments/department-of-wildlife-fish-and-environmental-studies/ For more information about the Aquatic Ecology research group visit: www.slu.se/en/research
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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 a Research Infrastructure? No Offer Description
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program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en
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its general study plan, is available at: https://www.umu.se/en/department-of-political-science/education/doctoral-studies/ The students will work in Umeå, and the doctoral program is given on site
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social issues that require more knowledge. In order to both sustainably use and safeguard forest biodiversity, a coherent basic science research program is needed that addresses large and complex issues
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solutions across the natural sciences. Your workplace You will be employed at the Department of Mathematics in the Division of Applied Mathematics, https://liu.se/en/organisation/liu/mai/tima . The research
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the 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
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the application. Required qualifications: Solid insights in marine ecology Programming skills in Fortran, Python and R Demonstrated skills in statistical analyses and modelling Capacity to work with complex data