269 data-"https:"-"https:"-"https:"-"https:"-"BioData" positions at KINGS COLLEGE LONDON
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individual with expertise in applied digital health, health informatics, data analytics, or technology-enabled care who can bridge research and practice. You will conduct high-quality, externally-funded
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. This will involve using physiological measurements using state of the art equipment, undertaking data collection and randomised trials. The studies will optimise will delivery suite management and critically
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including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience
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deadlines and workload. Experience of supporting meetings, including note-taking or minuting meetings. Experience of desk-based research, analysis and synthesis of information. Accuracy and attention
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Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information
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experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment
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Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process
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to understand and analyse complex information and present data to a range of audiences Ability to influence/lead others, whilst contributing effectively as part of a team with a ‘hands-on’ approach to working
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data analysis and will assist with recruitment and consenting of study participants. It is expected that the post holder will have some prior practical experience of human physiological testing, but
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program grant, REFUEL-MS, which is developing and evaluating a tailored digital treatment to help individuals with multiple sclerosis effectively manage their fatigue. You will be involved in analysing data