44 algorithm-development-"Multiple"-"Prof"-"UNIS" 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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the university, and with our external partners, to design, develop and deliver a wide range of educational programmes. Our learners study with us from across the world, choosing when and where they study, working
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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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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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6. Desirable criteria Evidence of active collaboration with dry lab and co-development of algorithm for the prediction of epitopes. Downloading a copy of our Job Description Full details of the role
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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 mark possible), research
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), we investigate the mechanisms governing the formation of the brain during embryonic development and in early postnatal life. This is based on the understanding that early experience shapes the way our
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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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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent