329 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at KINGS COLLEGE LONDON
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complex problem-solving. Desirable criteria Proven strong communication and interpersonal skills in over to receive, understand and relay specialist or professional ideas or information to various groups
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as part of the KHP-CTO Non-Commercial Team, the post-holder will ensure that the sponsor responsibilities (delegated to the KHP-CTO) for clinical oversight, safety reporting, and data integrity
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, understand and relay complicated ideas or information to various groups of all levels. Effective at working independently, and as part of a team, able to take own initiative, make decisions with minimal
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investigates the molecular and cellular mechanisms underpinning muscle biology, in the context of health and disease. His labs interests have begun to explore the analysis of multi-molecule data sets
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will provide information of what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want
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academic and clinical settings Experience with data analysis techniques Desirable criteria Evidence of working with international research groups or consortia, contributing to global perspectives on liver
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fellowships that typically involve trials or epidemiology using big data. There are excellent opportunities to develop, lead and apply novel methods and approaches, in response to complexities in data
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engineering. Our interdisciplinary research brings together engineers, computer scientists, physicists, and clinicians to develop cutting-edge technologies that transform healthcare. This position is part of a
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applying logical problem-solving to issues such as data export challenges, connectivity problems, or access permissions. Awareness of AI validation processes, safe integration practices, regulatory
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while ensuring strict adherence to trial protocols, ethical standards, and regulatory requirements. A core component of the role will be to work with retrospective data from participants living with