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at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but candidates who have
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The Department of Clinical Medicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of Magnetic Resonance Imaging as per 15 August 2026 or as
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Postdoc in experimental studies of phase behavior of ABC-miktoarm star block copolymers in thin f...
/PhD – in English) List of publications 2 recommendation letters or full contact information of 2 academic references Documentation of skills in written and spoken English Applications received after
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qualifications: PhD degree in computational science, computational biology, or equivalent Master’s degree in biomedical engineering or equivalent Experience of using various data sources (radiological images
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processes are affected in the diseased brain by combining cutting-edge techniques such as in vivo and ex vivo electrophysiology recordings, live-imaging of calcium indicators and neurotransmitter sensors
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processing and to evolve in a stimulating work environment dedicated to neuroimaging with doctors, scientists and companies in the medical imaging sector. You will be integrated into the iMRT team (innovative
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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of anatomical and pathological regions of interest Image enhancement e.g. improving resolution, noise, artefacts etc. Synthetic radiography Your job responsibilities As Postdoc in advanced image processing your
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | about 2 hours ago
present your findings at internal meetings and international conferences, contribute to publications, and support a positive and collegial team culture. Essential qualifications Doctoral degree (PhD) in
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and their impact on the extraction will be part of the work. This will be done in collaboration with the current PhD student (thesis to be defened in Oct 2027), to take over this work to provide a list