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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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. PhD Candidate Neuroimaging in Epilepsy Our goal: to leverage advanced Magnetic Resonance Imaging (MRI) techniques (including functional MRI to assess brain network metrics and MR spectroscopy to measure
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protocols and have affinity with medical topics. You have knowledge of CT dosimetry and radiation physics. You have good experimental skills and experience with image processing. You have some knowledge in
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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At the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, we transform cutting-edge scientific findings into technical innovations – contributing to shaping
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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 submitted their thesis and are awaiting award
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24th November 2025 Languages English Norsk Bokmål English English PhD Fellowship in information technology - AI for medical image analysis Apply for this job See advertisement Job description The
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proposed research field (e.g. Environmental Sciences, Applied Mathematics, or Statistics). Good working skills on either image analysis, advanced data processing (e.g. neural network, clustering
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description: Spatial interactions are key processes for the development and maintenance of multicellular systems. Disturbances in interactions lead to developmental disorders or diseases. In many cases
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candidate will have an excellent PhD in mechanical engineering, experimental biomechanics, or a related discipline, possess a solid knowledge of solid mechanics, and have a strong experience in high