172 algorithm-development-"Multiple"-"Prof"-"Prof"-"Embry-Riddle-Aeronautical-University" positions at King's College London in United Kingdom
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of Biomedical Engineering and Imaging Sciences is a cutting-edge research and teaching School dedicated to development, translation and clinical application within medical imaging and computational modelling
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staff alike. The Estates Planning & Development (EPD) team sits within the wider Estates & Facilities Directorate and plays a pivotal role in shaping the physical environment of the university. EPD is
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monitoring and management of health data. The RADAR-base platform is used in numerous research fields, spanning over 20 disorder areas in 54 studies. The Junior Software Developer will handle routine
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multiple fields and audiences. This is a full time post (35 Hours per week), and you will be offered an a fixed term contract until 31 August 2028. About you Please note that these are development positions
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deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with experience in: Deep learning Medical imaging computing
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change to delivery of health services. Experience with large datasets and excellent communications skills will be essential for this role. This role will involve developing and applying analysis plans
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Learning or Machine Learning algorithms Experience applying quality system standards, software development standards and regulation, e.g. ISO 13485, IEC 62304, MDD, and MDR Experience working within a team
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of mechanical and electrical assets, whilst managing their own workload and working alongside Technicians. The role is versatile, with multiple duties and responsibilities and carried out to the required standard
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biological and health related data, and attention to detail Ability to manage multiple tasks and prioritise workload to meet deadlines Clear and effective verbal and written communication skills Competent use
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mentoring and career development. The 2021 Research Excellence Framework (REF2021) placed King’s applied and allied health research 1st for: overall proportion of research rated 4* (world-leading, the best