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Description document, provided 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
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team includes a medical PhD student with pathology expertise who performs surgical specimen collection, tissue slicing, micro-CT scans, histological processing, and initial registration. The postdoc will
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the Candidate has successfully defended PhD thesis) in chemical sciences or related fields; has solid knowledge in FCS (Fluorescent Correlation Spectroscopy) and/or quantitative imaging and experience at work in
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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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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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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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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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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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. Your competences You have academic qualifications at PhD level. Candidates can have a background in a (bio)medical discipline (incl. medicine or dentistry), medical physics, computer/data science
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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