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Research Associate specialising in statistical modelling and machine learning to join our multi-university multi-disciplinary team developing a groundbreaking technique based on autofluorescence (AF) imaging
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classical fluid systems and the burgeoning field of active and driven matter and develop data-driven theoretical models for temporally correlated transport processes. The project is well-suited to current PhD
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Certifications: Must possess and maintain a valid driver license. Must be insurable through the organization’s insurers. Motor Vehicle Report is required in addition to background check and drug screen EEO
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Research Clusters exploring the depth and breadth of Pure Mathematics , Applied Mathematics and Theoretical Physics , and Mathematical and Statistical Modelling . Applicants are invited to e-mail the