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future generations of research and development professionals, data specialists, technology experts, inventors, and scientists for industry and society. We are now looking for Two Postdocs in
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of mole activity and soil health and biodiversity, collecting data on visitor perceptions of moles and their management, and analysing findings using statistical modelling approaches. The role provides
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About the role This Research Assistant post will support data collection and analysis on a longitudinal study of children’s pathways through the healthcare system. We are looking to recruit a
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. Preliminary data from the lab have shown that germ-free mice have an impaired olfactory function when compared to conventionally reared specific-pathogen free mice, particularly with regard to pheromone sensing
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with relevant experience and sufficient specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent
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Postdoctoral Researcher: Oxford Centre for Emerging Minds Research ‘All About Me’ (Adolescent Focus)
with relevant experience and sufficient specialist knowledge in a relevant subject area. With knowledge of statistics and ability to use statistical packages for analysing data, you will have excellent
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Neuroscience At least one
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high fidelity models of ice crystal icing accretion and shedding, verifying tools using the wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute
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We invite applications for a full-time Postdoctoral Research Associate to join the new Data-Driven Algorithms for Data Acquisition (DataAcq) project. This is a timely project developing new
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connectome, with a focus on the chemosensory circuits involved in human host-seeking. The principal focus will be on the high level proofreading, annotation and analysis of connectomics data. This will include