280 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" positions at University of London
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including malaria, have experience and understanding in using multiple metrics for analysis, experience with design and implementation of study protocols, experience of data analysis in Stata and programming
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, requests and issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from colleagues. Compliance with processes, procedures
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issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from colleagues. Compliance with processes, procedures and
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. Timely response to and resolution of enquiries, requests and issues. Accuracy and integrity of data in business systems. Development of relationships within and outside the team, and positive feedback from
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education strategy across seven departments and multiple LSHTM-based centres, with a focus on building and strengthening skills in artificial intelligence and machine learning for epidemiological research
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experience in leading cross-functional projects with multiple stakeholders. Strong commercial acumen and financial oversight capabilities. Resilient, solutions-focused, and highly organised under pressure. A
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About the Role This role is part of the Professional Services team within the Centre for Commercial Law Studies (CCLS) and supports the delivery and development of Executive Education programmes and
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PHURI’s multidisciplinary research themes. We value scientific excellence, mentoring, and career development within a supportive, collaborative team. Join us to help translate genomic discoveries
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experience of developing studies relating to Violence Reduction (study design, development of data collection and methods, study analysis and writeup) About the School/Department/Institute/Project The Faculty
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research project on cardiovascular risk prediction for people with immune-mediated inflammatory disease. The successful candidate will use advanced risk prediction methods to develop prediction models