15 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"NTNU" Fellowship positions at King's College London
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part of an established and collaborative team of statisticians, ML/AI data scientists, informaticians and other quantitative scientists developing novel methodology and applications in mental health
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the increasing demand for advanced statistical expertise in clinical trials, including first-in-human studies, trials involving digital health technologies, real-world data analyses, and translational research
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, including first-in-human studies, trials involving digital health technologies, real-world data analyses, and translational research. The post holder works as part of a team, with day-to-day responsibility
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conditions. About the role: We are seeking a highly motivated postdoctoral Research Fellow in statistical genetics and genomic data science to join Professor Gerome Breen’s team at King’s College London and
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-design workshops, interviews, requirements gathering, data curation/annotation activities, and contribute to the design and evaluation of human–computer interface prototypes through design sprints and
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of this role is to support the successful delivery of a mixed‑methods research study, contributing to all stages of the project’s design, implementation, data collection, and dissemination. Working under
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, including first-in-human studies, trials involving digital health technologies, real-world data analyses, and translational research. The post holder works as part of a team, with day-to-day responsibility
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including practical experience of GLP implementation (extending to electronic record-keeping, and auditable processes for data acquisition, analysis and curation). Please ensure you read the Job Description
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regulations with responsibility for the health, safety and welfare of others in the working environment and ensure confidentiality on all matters and information obtained during the course of their employment
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evidence of contribution to effective clinical audit and clinical risk management Excellent computer literacy (email, Microsoft Word, Excel, databases). Desirable criteria Post/approaching CCT in dermatology