887 computer-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" 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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integration into SasView. Required qualifications Ongoing university studies in physics, applied mathematics, computer science, engineering, or a related field Programming experience in Python Good
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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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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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You will be working in the laboratory of Marta Bally ( https://ballylab.com/ ), in close collaboration with the laboratory of Anne-Marie Fors Connolly ( https://www.umu.se/en/research/groups/anne-marie
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reliable system data for cybersecurity monitoring and forensic analysis. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans
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and expertise are required: PhD in a relevant area e.g. with bioinformatics, computer science or similar At least five years’ experience of working in a research environment with bioinformatics
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related field (for thepolicy-focused position). Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing
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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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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