908 computer-"https:" "https:" "https:" "https:" "Paris Saclay university" positions in Sweden
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Field
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Information Science (GIS), and computational science for health and environment, to study processes spanning from the microscopic to the planetary, across all time scales. The Inverse Modelling group at the Department
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-microbe interactions, mycology, and microbial ecology. The position is placed in the Forest Microbiology group. Read more about what it is like to work at SLU at: https://www.slu.se/en/about-slu/work-at-slu
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description of the workplace The Cardiovascular research
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the right of priority for re-employment at Mälardalen University, please contact the Division of Human Resources. HR-avdelningen URL to this page https://web103.reachmee.com/ext/I018/1151/main?site=8
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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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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of Microtechnology and Nanoscience. Join our innovative theory team and contribute to exciting research in scaling up quantum computers and other quantum technologies in a collaborative and dynamic environment. About
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20 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry
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approaches to identify, assess and manage chemical risks in water. In this project, funded by Water Wise Societies (Impact Innovation programme), we will work with the water sector to develop a new praxis for
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internationally outstanding research in the life sciences. Project description We seek two highly motivated postdoctoral researchers to develop new mathematical and computational methods for modeling developmental