132 computer-programmer-"https:"-"UCL"-"https:"-"https:"-"https:"-"https:" positions at KINGS COLLEGE LONDON
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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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. The successful candidate will work within a multidisciplinary team to unravel the metabolic drivers of HCC biology and transplant rejection through cutting-edge spatial multi-omics and computational metabolic
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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
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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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kitchens Experience of operating a dishwasher Basic level of computer literacy Able to work flexible hours including weekends and evenings Desirable criteria Hold a current food handler’s certificate
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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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laboratory Good computer skills including Microsoft Office packages and Strong communication skills – orally and in writing Demonstrable knowledge of mass spectrometry Strong planning & organisational skills
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analytically. Knowledge, understanding and experience of the legal, regulatory, and statutory governance of clinical trials. Including GCP. Strong computer skills (proficient with MS word, Excel and web-based
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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