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vision (computer sight) with machining process data (forces, vibrations) to develop an intelligent system that can accurately identify why a tool is wearing out (e.g., abrasion, fracture) and when it's
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apply. Criteria Essential or desirable Stage(s) assessed at A PhD degree (or close to completion) in a scientific or engineering discipline (preferably Computer Science). Outstanding candidates who do not
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Overview Are you eager to support a nuclear materials research programme of national significance? We have a very exciting opportunity in the School of Chemical, Materials and Biological Engineering
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alterations, DNA damage/repair and neuroblastoma initiation. Applicants must hold a PhD in a subject related to stem cell/developmental biology (or have equivalent experience) along with experience in culture
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Office. Together, we will complete highly-motivated research towards solving this critical real-world problem. By applying to this position, you are consenting to us sharing your application data with
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for the Research Associate, Grade 7 level, position must have a PhD in a quantitative biology discipline, statistics or machine learning along with a proven track record of research using statistical modelling
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Overview This position is funded as part of an £8M EPSRC programme grant “Networks of Cardiovascular Digital Twins (CVD-Net) ”, which is jointly held by Imperial College London, the Universities
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that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD in bioinformatics, computational biology, genomics or a
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Computer Science). Outstanding candidates who do not have a PhD but wish to pursue one on the topic of this project will also be considered. x Knowledge and experience in software developments or formal
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organised specifically for the appointed person, in terms of the split between clinical and academic work. The post represents an exciting opportunity to combine clinical work with a programme of high-quality