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Field
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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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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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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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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 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-fors-connolly ) 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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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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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
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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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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