64 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at KINGS COLLEGE LONDON in United Kingdom
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to plan and coordinate multiple activities, including training sessions, community engagement events, audits, and reporting, ensuring all deadlines and priorities are met effectively. Facilitation and
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regulation. With internationally recognised programs in both computational and experimental genetics, the department serves as a hub for interdisciplinary research, encouraging collaboration across various
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computer use Understanding of the day-to-day functioning of a research lab Ability to manage lab supplies, stocks, and ensuring the lab is organised and tidy Desirable criteria Good organisational skills and
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or equivalent. Basic level of computer literacy (ability to access email and online training) Experience of working in a catering environment Understanding of all relevant health, hygiene, and safety regulations
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Foundations, Summer Programmes, and King’s Language Centre. This brings together international pathway provision, pre sessional programmes, pre-UG summer courses, UG summer modules, UG language modules, bespoke
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area, e.g., Robotics, Computer Science, Artificial Intelligence
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levels of accuracy and attention to detail Demonstrates a proactive approach Demonstrates a commitment to a quality culture with a professional demeanour and high ethical standards Strong computer skills
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maintaining policies and regulations Problem solving skills – pragmatic and flexible approach whilst maintaining policies and regulations Strong computer skills (proficient with MS WORD, Excel and web-based
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, mathematics, chemistry, informatics and engineering. This role presents an exciting opportunity to run and develop the Nuclear Magnetic Resonance (NMR) service in the Chemistry department providing expert
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University (USA), and Google Deepmind (London). About the role The PDRA will lead the development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for