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Field
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Lipid Nanoparticle Delivery, Advanced Imaging and Membrane
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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, Computational X-ray Nanophotonics for Phase Contrast Imaging We are seeking a Research Fellow to spearhead cutting-edge research in the computational and theoretical modeling of free-electron-driven X-ray
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experience in energy and aerospace sectors. More than 1 year of research and development experience in aerospace and defense industrial R&D fields, through a national elite engineer program at a top-tier
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of Biomedical Engineering & Imaging Sciences at King's College London. You will become part of a multidisciplinary team of physicists, computer scientists, AI engineers, radiochemists, and biologists, with access
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-the-art single-pixel detector-based THz imaging platform aided by computational image construction methods and active polarization state manipulation of THz waves for THz imaging of metamaterial
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prototype and demonstrate its performance using real battery waste streams. Based within the School of Chemistry and Chemical Engineering and the School of Biosciences at the University of Surrey, you will
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prototype and demonstrate its performance using real battery waste streams. Based within the School of Chemistry and Chemical Engineering and the School of Biosciences at the University of Surrey, you will
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI
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health using state-of-the-art imaging, sensors computational modelling and data science. The successful candidate will play a leading role in developing and implementing computational pipelines for MRI