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to contribute to innovative, policy-relevant research at the intersection of statistics, infectious diseases epidemiology, and global health. Appointment Details The successful applicant will be registered
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the experiments. Required Qualifications: Candidate must have a strong quantitative background, with a PhD in computational biology, bioinformatics or related field including bioengineering, computer science
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join an ambitious research programme aimed at developing theoretically principled and statistically reliable frameworks for next-generation AI, spanning classical, neuromorphic, and quantum paradigms
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-inflammatory cytokine Macrophage Migration Inhibitory Factor (MIF), and investigating the effects of bile acid metabolites on CDI pathogenesis. The ideal candidate will hold a doctoral degree (PhD or MD) and
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Migration Inhibitory Factor (MIF), and investigating the effects of bile acid metabolites on CDI pathogenesis. The ideal candidate will hold a doctoral degree (PhD or MD) and have research experience
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bachelor’s or master’s degree (minimum 2:1). PhD qualified in relevant subject area*(e.g., epidemiology, population health, quantitative social science, statistics, psychology, developmental psychology
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are looking for a candidate with a PhD in epidemiology, biostatistics, data science, medical science, or a related field, with solid statistical skills and the ability to independently manage data from multiple
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Associates. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1) studying the role
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. The ideal candidates will possess a doctoral degree (PhD or MD) and have a strong background in molecular biology and physiology. There are three major projects in the lab: 1) studying the role of various
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developing more complex coupling schemes. The aim is to improve the prediction of natural resources in sedimentary basins. The PhD must have been awarded no more than three years before the start of