127 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at King's College London in United Kingdom
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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
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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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of Manchester and Imperial College. This role involves computational modelling and experimental data analysis, integrating mathematical models of clock neurons and populations with in-vitro and in-vivo