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focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging
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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for Two Postdocs in
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. At the Dunn School we are committed to supporting the professional and career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive
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research aims to develop new AI for shared human-AI decision-making in healthcare imaging. This post is focused on AI-assisted ultrasound guidance building on the group’s prior work on video and multi
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52 Faculty of Chemistry Startdate: 01.09.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 31.08.2028 Reference no.: 4195 Explore and teach
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scientists, and researchers working on medical image analysis, machine learning, and audiology. Our recent work has focused on using deep learning to analyse temporal bone CT scans and brain MRI data in
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methods to study human bone marrow models using high content imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training
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are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants
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51 Faculty of Physics Startdate: 01.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: permanent Reference no.: 4162 Explore and teach
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imaging approaches. You will lead in designing and establishing new protocols to the laboratory as well as supporting, mentoring and training other members of the group. You will hold a PhD in cancer