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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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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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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
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on autofluorescence (AF) imaging and Raman spectroscopy for detection of metastatic lymph nodes during breast cancer surgery. Engaging with and reporting to Dr Alexey A. Koloydenko (Department of
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-Aug-2025, 6:59:00 PM Disclosure and Barring Service Requirement: Not Applicable. Working at Durham University A globally outstanding centre of teaching and research excellence, a warm and friendly place
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for conditions such as otosclerosis. The position requires expertise in medical image analysis, proficiency with neural network architectures (particularly CNNs for segmentation tasks), and experience processing
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or orthotopic tumour models Supporting preclinical treatment studies involving standard-of-care or experimental agents Applying in vivo imaging techniques (e.g., bioluminescence imaging) to monitor tumour
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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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position from 01.10.2025 of a Postdoc Position at the Research Group Data Mining and Machine Learning at the Faculty of Computer Science, University of Vienna under the supervision of Prof. Claudia Plant
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47 Faculty of Psychology Startdate: 05.10.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 04.04.2026 Reference no.: 4360 Explore and teach