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Research Infrastructure? No Offer Description Applications are open for 1 Scientific Initiation Studentship, for a master's student, within the scope of ACIM - Communication, Image and Marketing Unit
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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magnetic resonance imaging (fMRI) and/or neurophysiological data Development and programming of behavioral and cognitive tasks; animal training and testing Planning, preparation, and participation in
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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and software analyses programs Foster research collaborations and
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on exciting discovery and translational research projects focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and
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research projects focused on brain connectivity. Conduct quantitative brain imaging analyses. Keep up-to-date on the literature in this field, methodologies and software analyses programs Foster research
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed
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develop new deep learning algorithms for spatio-temporal medical image analysis with particular focus on learning from limited labelled data. General information about the position. The position is a fixed