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Field
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We are seeking an ambitious scientist to join a vibrant team examining the evolution of locomotion in birds. The overall aim of the project is to deliver an exhaustive anatomical and functional data
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experience: Essential criteria PhD in computer science, AI or related area Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data modelling, RDF, RDFS
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in
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experience: Essential criteria 1. PhD in computer science, AI or related area 2. Proven experience of knowledge engineering and semantic technologies such as knowledge graphs, ontologies, data
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term basis for 35 or 36 months from appointment. You will have a PhD (or about to obtain) in biochemistry, chemistry, cell signalling or related discipline. These roles are eligible for sponsorship under
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term basis for 35 or 36 months from appointment. You will have a PhD (or about to obtain) in biochemistry, chemistry, cell signalling or related discipline. These roles are eligible for sponsorship under
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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ideas/adaptation and development of research protocols. Person Specification Essential Criteria: Qualifications A good first degree in an Engineering related subject. A PhD (or be close to submission) in
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Job id: 116225. Salary: £44,355 - £51,735 per annum including London Weighting Allowance. Posted: 29 May 2025. Closing date: 05 June 2025. Business unit: Faculty of Life Sciences & Medicine
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development. The ideal candidate will have a PhD in a relevant biological subject, together with experience in molecular biology, cell biology and immunology. Familiarity with flow cytometry, vascular biology