15 phd-in-computer-vision-and-machine-learning "https:" Fellowship positions in Norway
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are highly motivated, have interests in computer vision and neural networks, and want to both contribute to new advances in a field with real world applications. For more information and how to apply
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preparedness. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for
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Processing and Image Analysis Group, Section for Machine Learning, Department of Informatics. You will be part of Visual Intelligence and the DSB group. For more information about the position see https
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the researchers from Department of Automation and Process Engineering will play a key role. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early
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given that the candidate has formal competence in machine learning and/or image analysis/computer vision Foreign completed degrees (M.Sc.-level) must corresponding to a minimum of four years in
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international preparedness. The position is for a period of three years. The objective of the position is to complete research training to the level of a doctoral degree. Admission to the PhD programme is a
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samples. Apply machine learning and deep learning techniques to automate segmentation and quantitative analysis of tomographic refractive-index data from cells and tissue samples. Apply the developed
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-accelerated computation for large-scale 3D reconstruction. Experience applying machine learning or deep learning to microscopy or tomographic imaging, including segmentation and quantitative analysis. Hands
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large datasets analyses Active participation in LALP Lab activities Required selection criteria You must have completed a doctoral degree in cognitive science or computer design/programming Training and
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The position An exciting PhD position is available at the Department of Computer Science at UiT The Arctic University of Norway. The position is associated with the Visual Intelligence centre of excellence in