155 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at King's College London in United Kingdom
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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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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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international partners and maintains strong links with rheumatology and primary care services throughout the NHS. We have an active programme of patient and public involvement, which informs all stages of our
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skills, with competent computer use and strong interpersonal and influencing/behavioral skills. Solutions-focused self-starter, with good prioritisation and organisational skills. Flexible team-worker who
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sectors. Start date: 1 October 2026 Application deadline: 31 March 2026 (5pm GMT) Outcomes notified: Mid-April 2026 Applicants must apply both for the studentship and for the CMCI PhD programme at King’s
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. On appointment you will be affiliated with the Department of Biostatistics and Health Informatics in the School of Mental Health and Psychological Sciences at the Institute of Psychiatry, Psychology and
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. Knowledge of best practice process improvement and the capability to leverage available technology, data and reporting to improve new and existing processes. Experience of how to successfully roll out new
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success, driving innovation in technology enhanced learning. Join us in our mission to shape the future of education and empower students globally through innovative learning experiences. About The Role
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sensing, ecology, statistics, engineering, data science, quantitative social sciences, or a related discipline. Experience in developing models and mapping with real world data, with strong programming