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THIS VACANCY IS OPEN TO INTERNAL APPLICANTS ONLY About us: This post is one of several new appointments in the Data & Digital Alliance Team (DIGIT) of the Mental Health Goals Programme. DIGIT-MHG is
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for candidates to have the following skills and experience: Essential criteria 1. Good understanding of multiple FM computer systems such as CAFM, Permits, Lighting etc. 2. IOSH Managing Safely
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The PDRA will contribute to several interconnected research themes combining theoretical analysis, probability, and computational modelling. Core duties include: Researching the non-local geometry and
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Hill. Professor Shah’s research programme focuses on understanding how intermediary metabolism contributes to the development and progression of heart failure. The successful candidate will contribute
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relevant subject area: Machine Learning, NLP, Computer Vision or related fields. Strong publication record in AI/ML/CV or related areas. Ability to work independently and collaborate across disciplines
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, informatics and engineering. We deliver a wide-ranging portfolio of undergraduate and masters degrees, to around 4,500 students. King’s Interdisciplinary Science is based in the Faculty of Natural
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heritage contexts. Experience with composable architectures (e.g. Jamstack), static web development, progressive enhancement and/or minimal computing. Knowledge of/experience with tools and practices related
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, informatics and engineering. We deliver a wide-ranging portfolio of undergraduate and masters degrees, to around 4,500 students. About the role We are seeking a motivated, highly organised and people oriented
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skills and experience: Essential criteria PhD in statistical genetics, genetic epidemiology, computational biology, bioinformatics, genetics or a related discipline. Experience analysing large-scale
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Learning for Wireless Networks at King’s College London. You will be a conscientious, innovative scientist who has successfully completed a BSc (or equivalent) in computer science, Telecoms, and engineering