130 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" Postdoctoral positions in Sweden
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molecular dynamics simulations, free energy methods, and machine learning). Candidates with either computational and/or experimental expertise are encouraged to apply. The postdoc will closely work with
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vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish industry. Read more: https://wasp-sweden.org/ Linköping
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contribute to its shared infrastructure. Experience of machine learning, automated text analysis, historical census or register data, occupational classifications, comparative research, or research
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(thermodynamic and kinetic models etc.). Examples of suitable backgrounds: machine learning, programming, mathematics, physics. You will participate in designing the project according to the
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methods, long-term modelling of the forest landscape and its ecosystem services, as well as computer-based decision support systems in general and the Heureka system in particular, is an advantage. Great
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part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of excellence for experimental plant research and forest biotechnology in Northern Sweden. Our mission is to perform
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Department participates in approximately 30 courses at undergraduate and advanced level. We are a part of the Soil, Water and Environment Center at SLU (MVM-center), which provides links to research on water
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, hydraulics/hydrology, thermodynamics (e.g. heat transfer processes) - experience of sensor-based monitoring, field sampling, machine learning, programming as well as working with large environmental
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Department of Forest Genetics and Plant Physiology The Department of forest genetics and plant physiology is part of Umeå Plant Science Centre (UPSC, https://www.upsc.se ) which is a centre of
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Academy, University of Gothenburg. General information about being a doctoral student at the University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en