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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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data governance, and contribute to policy and ethical frameworks for responsible AI use. Skills and experience required We are seeking an accomplished AI researcher with substantial experience leading
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 21 hours ago
is a research project focusing on transforming urban food systems for planetary and population health. The postholders will conduct data analysis and prepare papers for publication using already
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reviews; (b) develop and conduct writing tasks and questionnaires; (c) assist in data coding and basic data analysis; (d) assist in managing the project; (e) assist in preparing progress/final
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submit with their application contact information for two to three references from experts at the ladder faculty ranks or highly accomplished senior researchers from corporations or research institutes
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study at Harvard University. For information about eligibility and selection criteria and application open and closing dates, see: The Frank Knox Memorial Fellowships. The information listed here is
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editing”. Qualifications Applicants for the Postdoctoral Fellow post should have a PhD degree in Computer Science, Electrical and Computer Engineering or a related discipline or an equivalent qualification
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available in the further tabs (e.g. “Application requirements”). Programme Description The Jeff Schell Fellowship can be granted to MSc and PhD students from all fields of natural science and data science
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About the job: The Research Fellow will work within the Northern Ireland Cerebral Palsy Register (NICPR) and the School of Nursing and Midwifery. The role involves working on high-impact data