171 algorithm-development-"Multiple"-"Prof"-"Prof"-"Embry-Riddle-Aeronautical-University" positions at King's College London
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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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delivery of marketing efforts to support successful attraction of prospective students. The role will lead the development and delivery of comprehensive marketing plans for the faculty, working closely with
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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
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ambitious plans as we approach our 200th anniversary in 2029, shaped around five priority areas: educate to inspire and improve; research to inform and innovate; serve to shape and transform; a civic
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to work on a new study funded by the Wellcome Trust. The aim of this project is to advance understanding of the lived experiences and support needs of minoritised ethnic people with multiple long-term
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student recruitment and marketing within higher education Evidenced ability to lead, motivate and develop a team of recruitment professionals. Excellent coaching, facilitating, and negotiating skills, with
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will be required to take a leading role across multiple projects, with support from other members of the team. Project topics are agreed with the funders in accordance with their priorities. KIS is a KHP
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within Faculty Education Services in the Faculty of Life, Sciences and Medicine. The programme team supports students and academics across multiple professionally regulated programmes. The role has
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supporting Virtual Learning Environments (VLEs) and learning technologies. Expertise in developing training materials and conducting Digital Education workshops. Excellent task management and problem-solving
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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