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instrumentation, MEMS technology, signal detection, and computational imaging. We foster a welcoming, collaborative, and supportive environment where knowledge exchange and teamwork are strongly encouraged
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expertise in AI and biomedical computing at the School of Biomedical Engineering & Imaging Sciences. The work will be done in close collaboration with a multidisciplinary team at KCL, UCL and with clinicians
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have the opportunity to develop their computational modelling capabilities in this project, alongside learning new skills such as testing on biological tissues and medical image processing
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipend’s are available within the doctoral programme: Biomedical Engineering and Neuroscience from January 1
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8 Dec 2025 Job Information Organisation/Company University of Southern Denmark Department Faculty of Engineering Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions
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PhD1: A MSc degree in Artificial Intelligence, Data Science or Computer Science; good engineering skills; affinity with AI. Experience in NLP/IR is a plus. Experience in conducting research is also a
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description PhD Position - C++ Software Engineering of a 3D Cell-Based Tissue
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for children and young adults. You are a creative and enthusiastic researcher with an MSc degree in Physics, Engineering or Biomedical Engineering, or similar. You have a clear interest in developing imaging
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academically relevant background such as for example engineering cybernetics, control engineering, machine learning, statistics, informatics, mechanical engineering, or maritime technology. You must have a
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twins: a new paradigm in data-based engineering and engineered data. (No. ART-2018-109564). [2] Carlberg, K., Farhat, C., Cortial, J., & Amsallem, D. (2013). The GNAT method for nonlinear model reduction