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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are looking for an enthusiastic, productive mathematical modeler
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partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. We are looking for an enthusiastic and productive mathematical modeler
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postgraduate degree, ideally a doctoral degree, in a relevant topic and relevant experience in mathematical modelling, health economics, epidemiology, statistics or another relevant discipline with a strong
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Organization. The successful applicant will have a postgraduate degree, ideally a doctoral degree in health economics, mathematical modelling, statistics, epidemiology or another relevant discipline with a
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components. About You Applicants should hold a PhD degree in Mechanical Engineering, Metallurgy and Materials, or a relevant subject (e.g. Materials Science, Engineering Mechanics, Applied Mathematics
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Richard White, and lead on components of a wider project on using mathematical models to identify the optimal combination of TB interventions across multiple countries. The successful applicant will have a
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career development. You will have (or expect to have very soon) a PhD or equivalent qualification in an analytical or mathematical science subject and be computer literate in a wide range of software
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the mathematical/computational tool-box to describe the evolution of ecDNA and test predictions of these theories in existing and newly generated cancer genomic data. The positions will be integrated into a large
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of outputs for journal submission. The successful candidate will possess as many as possible of the following: PhD in relevant subject area: economics, computer science, mathematics / statistics, psychology