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where academic innovation and practical application go hand in hand. About the project Maastricht University is currently expanding its preclinical research facilities with state-of-the-art technologies
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https://www.academictransfer.com/en/jobs/354348/postdoc-position-on-ai-based-tr… Requirements Specific Requirements PhD in a relevant field (e.g., medical imaging, computer vision, AI) Expertise in
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Employment 1.0 FTE Gross monthly salary € 3,546 - € 5,538 Required background PhD Organizational unit Faculty of Science Application deadline 14 September 2025 Apply now Join the BONSAI project
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settings Where to apply Website https://www.academictransfer.com/en/jobs/354386/postdoc-position-on-reinforceme… Requirements Specific Requirements PhD in Computer Science, Biomedical Engineering, Data
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or strengthened for regional innovation policies? With this line of research, the postdoctoral researcher will contribute to our activities in the INTERREG project ‘PERSIST’ (50% of the position). In PERSIST, 9
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their PhD before January 2026 are also encouraged to apply. Applicants should demonstrate proficiency in programming languages and tools commonly used in computer science. Hands-on experience with genetic
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Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop...
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are offering a senior postdoctoral position within the Stranding Research Programme external link , part of the Division of Pathology at the Faculty of Veterinary Medicine. Your job The Stranding Research
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Vacancies Postdoc position in Intelligent, Acoustics-Based Diagnostics for High-Tech Systems Key takeaways The Dynamics based Maintenance group, Faculty of Engineering Technology at the University
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/video segmentation, object tracking, reinforcement learning. Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation