854 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions in Sweden
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. The Department of Computing Science at Umeå University is looking for a doctoral student in machine learning
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-quality educational programs in Computing Science, we are now seeking a PhD student with a focus on Computer Security. The Department of Computing Science has been growing rapidly in recent years, with a
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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of Excellence. In collaboration with Umeå School of Education, the Department of Language Studies is looking for a doctoral student in language teaching and learning. The Department of Language Studies
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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computer assisted sperm analysis on over 1,000 males from the national Swedish breeding program. A two-year postdoc position is available for investigating the underlying genetic factors of male fertility in
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broad spectrum of fields, from core to applied computer sciences. Its vast scope also benefits our undergraduate and graduate programmes, and we now teach courses in several engineering programmes
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Systems, Internet Systems and Computer Networks, Robotics, Machine Learning and AI, Automatic Control, or Mathematical Modelling and Optimization. Documented good profiency in software development. Good
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benefits and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ Agroecological Performance Assessment Research subject: Crop production science Description: Assessing how
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of formulating them, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment