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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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characterization. Proven experience in development, operation and optimization of THz sources and detection. Experience in THz Imaging. Proficiency in Python programming to develop codes for post-data processing
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Assembly Job Quality Inspection”. The role will focus on research and development of AI algorithms for defect detection, image/video analysis and understanding Key Responsibilities: Develop artificial
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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 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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outcomes. Research Data Management and Analysis: Lead the processing, cleaning, integration, validation and analysis of complex clinical and skin imaging datasets, including 2D and 3D medical imaging data
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, clinical and sensor data processing, quantitative image analysis and machine learning. They will establish and maintain robust research databases and FAIR-compliant data management processes for large, multi
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Imaging. Contact details:Dr Jonathan Weir-McCall. [email protected] Location: Offsite Campus. Category: Research. About Us Within the Faculty of Life Sciences & Medicine (FoLSM), the School
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of bioelectrochemical systems, electrochemical engineering, resource recovery and sustainable battery recycling. The project aims to translate a laboratory-validated lithium recovery process into a continuous-flow
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of bioelectrochemical systems, electrochemical engineering, resource recovery and sustainable battery recycling. The project aims to translate a laboratory-validated lithium recovery process into a continuous-flow