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funding availability. Applicants should possess a doctoral degree in Biomedical Sciences, Medical and Health Sciences Education, Computer Science or a related discipline, with a keen understanding of the
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to contribute to the development and delivery of teaching on the Faculty’s undergraduate and taught postgraduate programmes (including the Juris Doctor degree programme). The appointee will be responsible
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environment and governance will be highly desirable. Experience in computational social science, causal inference, text mining, machine learning, analysis of unstructured and multimodal data, or advanced
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. Candidates should possess a robust research program, a record of high-impact publications, and expertise in fields such as health psychology, behavioral epidemiology, implementation science, or health
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students each year. In addition to these, the Faculty also hosts the Law, Innovation, Technology and Entrepreneurship (LITE) Programme (LITE, established in 2018), as part of the Experiential Learning
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, Statistics, Computer Science, or a related discipline. Priority will be given to those with an outstanding research track record and extensive expertise in cancer bioinformatics, cancer biology, cancer
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of medicines. We welcome imaginative and interdisciplinary applicants who can move our ambitions forward by pursuing new opportunities for laboratory and clinical research programme. Applicants should possess a
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disciplines; or a Master's degree with at least 1 year's post-qualification experience Research experience in the field of computational biology and bioinformatics through advanced programming (Linux Shell
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Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education
Ref.: 533113 Work type: Full-time Department: Centre for Information Technology in Education within the Faculty of Education (10001) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow/Senior Research Assistant in the Centre for Information Technology in Education...
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well as an excellent command of written and spoken English. Preference will be given to those with experience of teaching and research in computational social science, social data analytics, population studies