133 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at King's College London
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600 staff and students. The Department supports innovative research with state-of-the-art technology and offers exceptional opportunities to collaborate with leading scientists in molecular medicine and
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computer science, mathematics, physics or similar disciplines * Demonstrated expertise in artificial intelligence, machine learning, deep learning, and data mining methods and algorithms Proven experience applying
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campuses, our academic programme of research, teaching and clinical practice is embedded across all SLCPS departments. About the role This is an exciting opportunity to work closely with King’s Global Health
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’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role The Research Fellow in Translational and Digital Health
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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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. 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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, MA and PhD level. The department runs two large political science programmes at BA and MA level and a specialized programme in Peace and Conflict Studies at MA level. In addition, the department hosts
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scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments. About the role We
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, epidemiological, and data science perspectives. The postholder will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Computer Science, Epidemiology, or another quantitative discipline, and will have
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(e.g. data science, computer science, AI/NLP)* Experience in Data Science techniques, especially data analysis and prediction modelling, evidenced by publications and/or dissertation, or equivalent