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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
next generation neural networks for advanced analysis of image and multimodal data. Central research challenges are to develop neural networks that learn more efficiently from limited data
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of molecular properties (RT3/4) with very high precision, and integrated in the Hylleraas Software Platform (RT0) to enable the scientific community at large to use MRChem as a tool, thus generating a
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dependability. Our research is focused on developing and investigating robust and efficient software infrastructures, trusted data management and storage, secure networking, multimedia support, and support for
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snow applications and developing data analysis methods, so the PhD candidate will benefit from collaborations within the group. Roles and responsibilities of the PhD fellow The candidate’s specific
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on research design, data collection and analysis, co-author scientific papers, and represent the project at relevant conferences and workshops. The applicants must present a description outlining the academic
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(iPSCs) and engineered heart tissue (EHT) generated from these. General information about the position. The position is for a period of four years. The nominal length of the PhD programme is three years