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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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of cells and modules in realistic drive cycle scenarios. This activity will link closely with the design of BMS and cooling systems to maximise the safety of the developed propulsion system. You should
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new data will be linked with information from samples previously collected during pregnancy, there will also be opportunities to be involved with analysis of multi-omic data to study mechanisms
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available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
Trajectories (TTs). Furthermore, the Postdoctoral researcher will quantify how such forest changes affect the prevalence of diseases linked to environmental degradation, including vector-borne and zoonotic
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analysis and is increasingly used in cancer research to uncover morphological features linked to disease pathology and severity. Similarly, molecular profiling through ‘omics technologies has provided new
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understand the links between maturational accounts of acquisition and the stability of morphosyntactic properties diachronically, with particular reference to French. Acquisitional data will be extracted from
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sustainable alternative to conventional rubbers, thanks to their re-processability, recyclability, and design flexibility. A micromechanical approach will be adopted to link key microstructure parameters (hard
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://www.demography.ox.ac.uk) and link with the Pandemic Sciences Institute (https://www.psi.ox.ac.uk). To be considered, you will hold or be close to completion of a PhD/DPhil in Demography, Data Science, Statistics
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diseases. We are seeking a Postdoctoral Molecular Epidemiologist to work on an NDPH Senior Fellowship funded project which seeks to clarify the causal associations and molecular mechanisms linking adiposity