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, longitudinal patient and population registries and biobanks. Project description The development of artificial intelligence (AI) and computerised image processing in combination with advanced digital microscopy
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optimal performance The PhD student will be supervised by Ida-Maria Sintorn, Professor in digital image processing, and Jens Sjölund, Assistant Professor in AI at the Department of Information Technology
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these processes. Within the research group, we highly value a positive work environment characterized by respect and care in our relationships with one another. We continuously strive to create conditions that
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collaboratively Meritorious qualifications: Experience with machine learning or deep learning Experience with computer vision or image analysis Experience with 3D data, geometric representations, or parametric
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. Experience in deep learning, computer vision, or neural network development. Experience with live-cell microscopy, fluorescence microscopy, or analysis of 3D/4D image data. Experience in cell biological
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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Do you want to help shape the future of precision medicine? PredictMe AB, in collaboration with Karolinska Institutet (KI), offers a unique opportunity to pursue an industrial PhD within
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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an individual study plan. For a doctoral degree, the equivalent of four years of full-time doctoral education is required. The research group A DDLS PhD position is available in the Engblom lab , with main
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doctoral education is required. The research group The PhD student will join the research group Epidemiology of cardiometabolic and cognitive aging at the Department of Medical Epidemiology and