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Field
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assessed at each stage of the recruitment process. To be considered for this post, you must also submit a separate online application to the ‘Biomedical Engineering and Imaging Science Research MPhil/PhD
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Environment / Life Sciences. Research line: Remote sensing and ecology. The successful candidate will carry out research activities including field data collection, processing of large volumes of data, image
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About Us A 3-year PhD-fellowship is available at the School of Biomedical Engineering & Imaging Sciences at King's College London. This position is part of the Cardiovascular Digital Twin network
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equipment. Job Requirements: Education qualifications: PhD (Mechanical Engineering) or above Soft skills: Organization management and project progress control ability, channel development and industry
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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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Present at top-tier international conferences Job Requirements: PhD degree in physics, engineering or related field Familiarity with electrodynamics and electromagnetism; quantum physics/quantum
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nearby and a very temperate climate. Qualifications Candidates should meet the following requirements: Applications must have a PhD (or foreign equivalent) in basic or clinical science, imaging physics
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the physics of free electrons impinging on nanomaterials like van der Waals crystals, and subsequent coherent X-ray emission and imaging processes. Programming of software tools Required qualifications and
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of advanced engineering alloys investigate processing-microstructure-property relationships using advanced materials characterisation techniques conduct microstructural, crystallographic and chemical analysis
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multiphoton microscope system. Acquisition and processing of imaging data. Cooperation with biological partners. Documentation of results (reports, plots, preparation of materials for presentations/publications