848 image-coding-"Foundation-for-Research-and-Technology-Hellas" Fellowship positions
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Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore The School of Biological Sciences (SBS), part of the College of Science, was established in 2002 with a mission to advance biological and biomedical sciences. At SBS, our research spans various...
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research and development. Here, you can apply your engineering talent to develop new life-saving technologies – for example, medical imaging, wearable devices, surgical robotics and laboratory-grown tissues
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, imaging approaches and/or bioinformatics. Postdoctoral Fellow – Banerjee Lab – 00399 Our lab is interested in how the brain accomplishes the ongoing transformation from sensation to action during natural
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Gibbons, working in close collaboration with Dr Lisa Story and the Perinatal Imaging team. The post will be based at the St Thomas’ Hospital campus and the postholder will be responsible for pregnant
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Lisa Story and the Perinatal Imaging team. The post will be based at the St Thomas’ Hospital campus and the postholder will be responsible for pregnant participant recruitment for advanced magnetic
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on radionuclide imaging and therapy of cancer (radiotheranostics), multi-modal molecular imaging and nanotheranostics (various forms of nanoformulas). More information on the research work is available at https
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the research project - “Radiotheranostics: emerging integrated imaging and therapies for precision oncology”. Qualifications Applicants should have a PhD degree in Medical Physics, Physics, Biomedical
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thermal imaging data, and potential clinical and signal data, to create algorithms capable of recognizing key clinical activities and interventions. Building on recent advances in computer vision and