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related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology). ● Proven research track record with publications or preprints in relevant domains
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related discipline (Neurobiology, Computer Science, Statistics, Epidemiology, Systems Biology, Computational Biology). ● Proven research track record with publications or preprints in relevant domains
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Assistant Professor) to support primarily two new UKRI projects with additional ad hoc statistical analysis and epidemiological interpretation for projects in the thriving laboratories of Professor Chris
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environmental epidemiology research team at LSHTM to work on a new UKRI-funded study in the field of climate change and health entitled THERM-UK. This is an exciting opportunity to be part of a large
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responsibilities The Research Fellow/Senior Research Fellow will: Lead GBD research projects, which may include systematic reviews, meta-analyses, and epidemiological disease modelling. Set research direction and
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environmental epidemiology research team at LSHTM to work on a new UKRI-funded study in the field of climate change and health entitled THERM-UK. This is an exciting opportunity to be part of a large
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Roles Lead a retrospective study utilizing a decade of health data to create a comprehensive HRI database. Investigate the distribution and determinants of HRI by applying epidemiological methods
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. The successful candidate will have a Postgraduate degree, ideally a doctoral degree in a relevant topic in parasitology, zoology, molecular epidemiology, diagnostics or related topic, in-depth knowledge
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exercise physiology, exercise behavior, psychology, nutrition, public health, epidemiology, neurology and aging science, disability-related health sciences, etc. Preferred Qualifications Work Experience
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to important public health topics. Studies will include descriptive epidemiology and use emulated target trial approaches for robust causal inference within large national health datasets. The post offers