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affiliated with the Multimodal Imaging Group at the Department of Psychology and will be integrated with the Centre for Precision Psychiatry (https://www.med.uio.no/klinmed/english/research/groups/precision
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We invite applications for a fully funded PhD research scholarship in “Unsupervised Machine Learning for Cardiovascular Image Analysis”. This opportunity is available to UK (Home) candidates only
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environment. Visible homelessness, such as encampments, is frequently seen as detrimental to cities’ public image. In response, public authorities are increasingly introducing laws and regulations
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seen as detrimental to cities’ public image. In response, public authorities are increasingly introducing laws and regulations that criminalise homelessness, prohibiting behaviours that homeless
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. You will be responsible for carrying out research on neuroimaging meta-analysis (NMA), developing novel methods and implementing them in efficient, well-documented and user-friendly code to be
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on neuroimaging meta-analysis (NMA), developing novel methods and implementing them in efficient, well-documented and user-friendly code to be integrated with the NiMARE (NMA) software project. To be considered you
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University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Good experimental skills will be considered an advantage Experience with image processing will
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a prototype for identification of critical locations in steep rivers in regard to flash floods was developed. The prototype is implemented in NorKarts GIS application. The project revealed a large
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Experience in computational cardiovascular biomechanics Experience in medical image segmentation Experience in Python programming or a similar programming language Experience with machine learning models Good
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during sitting, walking, running or performing sports; or (ii) generative machine-learning models for physiologically realistic avatar construction from image or point-cloud data. Qualifications