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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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/ deep learning workflows) and integrate these readouts with viability metrics and genomic data. Collaborate closely with clinicians, surgeons and SINTEF partners on patient sample handling, experimental
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robust analysis pipelines for high-content image data (e.g. CellProfiler / deep learning workflows) and integrate these readouts with viability metrics and genomic data. Collaborate closely with clinicians
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apply. A strong formal course background in deep learning and machine learning in general, or relevant topics such as: neural networks self-supervised learning convolutional neural networks transformer
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, physics, or electrical engineering. If you are near completion of your master’s degree, you may still apply. A strong formal course background in deep learning and machine learning in general, or relevant
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, geometric deep learning. Considered an advantage: experience in programming or course work in computer science, algebra, topology or differential geometry, knowledge of topological data analysis or machine
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; Position 2 requires oral and written proficiency in Arabic and English Ability to learn, develop and apply new tools and techniques for digital research, ethnographic fieldwork, data analysis and writing
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communication skills in English Desired qualifications: Experience in dynamical analyses Familiarity with turbulence and nonlinear processes Good mathematical skills Good writing skills Desire to teach All
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and nonlinear processes Good mathematical skills Good writing skills Desire to teach All candidates and projects will have to undergo a check versus national export, sanctions and security regulations
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performance, plume evolution, and pressure-build ups in potential multi-site storage licenses. The research will help to suggest best practices for machine learning integration in de-risking CO2 storage sites