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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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. 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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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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researchers and participate in the recruitment of additional researchers. Responsible for scheduling and performing MRI scans, as well as archiving and post‑processing imaging data. Contribute to the writing
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are united in our efforts to understand, explain and improve our world and the human condition. The MAX IV Laboratory has created a paradigm shift in accelerator science by developing the first fourth
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to brain processing using several different methods, including electrophysiological (EEG), functional and structural brain imaging, as well as behavior and psychophysical measurements. We offer an engaging
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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
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Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes