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to avoid abrasion and agglomeration. A small-scale experiment will be devised to explore some of the complexities. There will be issues of supersonic flow and how the presence of an abrasive fluid affects
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will be helpful to have a working knowledge of multi-phase flows, and in particular of abrasive slurries. The applicant will have obtained or be close to obtaining a PhD in Chemical Engineering, Colloid
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the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. For informal enquiries about the role please contact Professor Richard Durbin rd109
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, the postholder will estimate the impact of applying ethnicity-dependent risk thresholds compared to a universal threshold on the outcomes of risk-stratified screening. The role involves collaboration with
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to consider these as part of your application. Please submit your application by midnight on the closing date. If you have any questions about this vacancy of a technical nature, please contact Prof. E
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must be self-motivated and collaboration-oriented, able to work alone and in a team. The position is multidisciplinary and the candidate must be excited about working in an interdisciplinary area
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development activities such as appropriate professional activities while in the role. This is an excellent opportunity for someone enthusiastic about learning new techniques, proactive in research and self
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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@cam.ac.uk Please quote reference JP46787 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from
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and ground), and boasts expertise in controlling and deploying them in practice, as well as in designing coordination strategies for them. Our recent work on ML-based co-optimization demonstrates some