68 python "Computer Vision Center" "Computer Vision Center" Postdoctoral positions in Sweden
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- University of Lund
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international environment for research and education covering a broad spectrum of computer science. The department is internationally renowned for its excellent research and education. We are
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description The Robotics and Artificial Intelligence (RAI) group belongs to the Department of Computer Science, Electrical and Space Engineering. The group took part in the DARPA Subterranean Challenge with
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Sentinel-1/2 time series. Strong proficiency in Python for geospatial data analysis and machine learning (e.g. XGBoost), including model interpretation techniques (e.g. SHAP). Very good oral and written
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expected to be computer science but related topic areas in the engineering or mathematics fields can be considered together with extensive experience in software development related to the above areas
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employment as a postdoctoral researcher, you must hold a PhD or a foreign degree equivalent to a PhD in robotics, automatic control, computer science, electrical engineering or a related subject. It is
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Domain of Science and Technology, Faculty of Mathematics and Computer Science, Department of Information Technology Are you interested in working with machine learning and simulation-based inference
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-cell transcriptomics analyses, and computational skills (e.g., R and Python). Meritorious will be considered experience in Microscopy-based imaging, Immunohistochemistry, and cell culture
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with X-ray imaging techniques, e.g. µCT, nanoCT, TXM or similar. Experience in computer programming for data analysis, e.g. Python. Demonstrated ability to work both independently and as part of a team
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changing world and how we can breed better plants. About the position The Umeå Plant Science Centre (UPSC) is a world-leading research center in plant physiology and forest genetics. Its research
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Laboratory of Organic Electronics (LOE) at Linköping University, a world-renowned center for groundbreaking research in bioelectronics, energy devices, printed electronics, and nanooptics using organic