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Systems Engineering), along with excellent computing and programming skills in multiple languages and environments. You will also need a problem-solving ability to manage and analyse manufacturing datasets
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of a dynamic academic community, work alongside global experts, and make a meaningful impact on research and society. THE OPPORTUNITY College of Engineering and Computer Science is looking
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Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally worked Monday to Friday. Flexible
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You will join our team at the Optoelectronics Research Centre and work on the Engineering and Physical Sciences Research Council funded project HyMeta: Hyperuniform Disordered Metasurfaces
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Organisation: Cranfield University Faculty or Department: Faculty of Engineering and Applied Sciences Based at: Cranfield Campus, Cranfield, Bedfordshire Hours of work: 37 hours per week, normally
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postdoctoral scientist to work on our Blood Cancer UK-funded programme developing next-generation, off-the-shelf immunotherapies for acute myeloid leukaemia (AML). This three-year project will harness cytotoxic
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from both generalists and specialists including those who self-identify as statisticians, software engineers, machine learning practitioners, data scientists or data engineers. CANDIDATE PROFILE Please
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. The successful candidate will create a computational framework that bridges atomistic insights and cell-scale behaviour, enabling improved understanding of multi-mechanism sodium storage, phase transitions, and
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We are seeking a full-time Postdoctoral Research Assistant to join the Oxford Witt Lab for Trust in AI (OWL) at the Department of Engineering Science (Central Oxford). The post is funded by Schmidt
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Organisation Cranfield University Faculty or Department Faculty of Engineering and Applied Sciences Based at Cranfield Campus, Cranfield, Bedfordshire Hours of work 37 hours per week, normally