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Field
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, engineers, computer scientists, nuclear medicine physicians, …) towards the overall aim of enabling translational and physician-in-the-loop AI for medical imaging. Our research team is multicultural and
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description can be changed at any time. Required Education Doctoral Degree in Computer Science or a similar field. Required Experience In-depth knowledge of medical imaging procedures, techniques, and data
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of Life Sciences & Medicine. Department: Res Dept of Cardiovascular Imaging. Contact details:Ramesh Valapil. ramesh.valapil@kcl.ac.uk Location: St Thomas Hospital. Category: Research. About Us
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Discovery, Development Sciences, and Aesthetics which includes fields such as chemistry, biology, pharmaceutical science, and computational information sciences. This enriching training program offers a
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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Fellow. This role offers the chance to be at the forefront of innovation in chemical biology, with a focus on developing cutting-edge tools for molecular sensing and imaging. Under the guidance of Dr
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Resonance (NMR) Experience with experimental NMR techniques and methods for imaging and spectroscopy and an ability to contribute to developing new methods Experience in pulse programme design desirable
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lifetime imaging. Broad knowledge and hands-on training of design, theory and operation of advanced light microscopy systems, including skill and experience in their operation. Mechanical and electronic
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical