146 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" PhD positions in Sweden
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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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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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competitive advantage (https://liu.se/en/research/cbmi ). You will work under the supervision of Professors Christian Kowalkowski and Daniel Kindström. Research at IEI spans a broad range of areas, from
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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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Clinical Sciences (BKV ). MMV carries out research, undergraduate and postgraduate education within Health Sciences. The employment When taking up the post, you will be admitted to the program for doctoral
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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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Sweden 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 a Research
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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