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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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-throughput datasets including metabolomics, proteomics, and transcriptomics. By aligning the model predictions with physical interactions between biomolecules, our approach ensures that the results are both
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-throughput datasets including metabolomics, proteomics, and transcriptomics. By aligning the model predictions with physical interactions between biomolecules, our approach ensures that the results are both
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for medical research with outstanding research infrastructure. The doctoral student project and the duties of the doctoral student The project is part of an ERC starting grant and focuses on the identification
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predictions with physical interactions between biomolecules, our approach ensures that the results are both interpretable and actionable. Our group aims to unravel mechanisms of treatment resistance and to
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of four years of full-time doctoral education is required. The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within
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transformations of cells in overexpression and gene editing assays as well as confocal microscopy. You will actively contribute to all parts of the scientific process including phrasing scientific hypotheses
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inspiring environment full of expertise and curiosity. Karolinska Institutet is one of the world's leading medical universities. Our vision is to pursue the development of knowledge about life and to promote
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chemistry, nucleic acid technology, and state-of-the-art biophysical methods (spectroscopy, live cell imaging and nanotechnology) to address cutting-edge questions in biology and meet medical challenges. Our