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We seek to appoint a Research Associate (postdoctoral scientist) to join the prolific climate/weather/environmental and impact science community at the University of Oxford, that is interested in playing a crucial part in the outcomes and deliverables of the multi-institutional NERC-funded...
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between environmental stressor (e.g. temperature and dissolved O2) better predict extinction risk than any variable alone. About you You will hold or be close to completion of PhD/DPhil together
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Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical
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including protein purification, SDS-PAGE, and western blotting. The post holder should be familiar with bioinformatics tools and databases (BLAST, protein structure prediction tools) and have basic
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their predictive capability. You will help ensure a healthy and vibrant research environment within the Impact and Shock Mechanics Laboratory. You will be asked to provide guidance to less experienced members
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researchers to translate these experimental results into our numerical models, helping to improve their predictive capability. You will help ensure a healthy and vibrant research environment within the Impact
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structural), ECG, and genetics, to model disease trajectories and improve risk prediction in cardiomyopathies. The successful applicant will work closely with the PI to deliver research projects, supervise
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prediction. The role of the individual will be as follows: (i) M. polymorpha tissue culture; (ii) gene expression analyses (iii) protein expression analyses (iv) phylogenetic analyses The successful candidate
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predicts battery performance and properties from fabrication line measurements. About you Hold (or be near completion of) a PhD/DPhil in Control Engineering or a related subject, with the possibility
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learning approaches. You will develop novel, reproducible methods for analysing both structured and unstructured clinical data, generating insights into disease trajectories, predicting clinical outcomes