130 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at King's College London
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INTERNAL CANDIDATES ONLY About Us The PET Centre is part of Guy’s & St Thomas’ NHS Foundation Trust and King’s College London within the School of Biomedical Engineering & Imaging Sciences. The Positron
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About us The Department of Informatics at King’s College London is looking to appoint a Postdoctoral Research Associate or Fellow to work in the area of technical AI safety. About the role
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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. The Department of Women and Children’s Health is a lively and supportive
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in health and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Applications
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) and experience of utilizing digital technology in day-to-day work. Effective at working independently, and as part of a team, able to take own initiative and decisions with a proactive approach to
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& technology studies, development studies); Strong research profile for career stage, as demonstrated through lead authorship of well-placed publications; Excellent interpersonal and communication skills
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Programme Director), and Consultancy and Capacity building work with Abdullah-Al-Salem University in Kuwait. About the role To support these and future ventures, we are now seeking a senior clinical medical
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computer skills (proficient with MS word, Excel and web-based applications). Desirable criteria 1. Experience of commercial clinical trial set up. 2. Knowledge and understanding of the relevant
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studies Proficiency in cell culture and differentiation Experience with iPSCs Knowledge of PCR, RT-qPCR and other molecular biology techniques Proficient in computer use Understanding of the day-to-day
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clinical base at the Maudsley Hospital and involves affiliated laboratories across King’s Health Partners. The programme is strongly lead by statistical modelling to predict not just Parkinson’s disease (PD