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(20% - 80% on site)Available for SecondmentNoClosing Date22-Jan-2024 The Department is among the three largest Statistics groups in the UK with more than 30 academic members of staff. Research in
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and Surveillance group. Within a week of working here, your day could look like this: you will be applying your epidemiological, statistical and leadership expertise to a range of studies to develop and
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in access/ outcomes of mental health care pathways in the UK. Prospective candidates should be conversant with quantitative statistical methods and be committed to tackling health inequalities. PhD
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, brain imaging techniques, and advanced statistical analyses. The selected candidate will receive comprehensive supervision from a team of expert researchers and clinicians with diverse backgrounds
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highly numerate and familiar with basic statistical analysis techniques. They will also have strong communication skills for both oral presentations and written work and have the ability to work both
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on recent developments in computational polymorph prediction and nucleation modelling that benefit from synergies between statistical mechanics, machine learning and computational chemistry, and will develop
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statistical issues. Collaborating with public, charity, and private sectors, both nationally and internationally, OHE is known for its objective, high-quality work. The LSE Department for Health Policy focuses
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. Being self-motivated and enthusiastic about AI for healthcare. Have a good first degree in computer science, biomedical engineering, applied statistics/mathematics, or any-related field. Strong problem
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teaching opportunities. Essential Criteria BSc or MSc in relevant subject area (statistics, geography, epidemiology, data science, public health, psychology, econometrics with a specific focus on public
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. Communications Physics (2022) The ideal candidate has: MSc (or equivalent) in Complex Systems, Networks, Data Science, Computational Social Science, Theoretical or Applied Physics, Mathematics, Statistics