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of the ‘Professional Values and Behaviours’ component of the BMBS Medicine course in Nottingham and Derby and for any students in Lincoln who are registered with the University of Nottingham. The school has established
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of the ‘Professional Values and Behaviours’ component of the BMBS Medicine course in Nottingham and Derby and for any students in Lincoln who are registered with the University of Nottingham. The school has established
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years Terms and Conditions: Applicant Qualification Requirements: 2:1 or masters in computer science or another relevant area. English language (if applicable): IELTS 6.5 (6.0 in each element) or accepted
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professional development and the importance of providing opportunities, structured support and encouragement to engage in professional development. This post is offered at 0.5 FTE. Whilst no clinical component
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also developing skills in data analysis and machine learning. This role offers a unique opportunity to grow as a researcher, contribute to high-impact publications, and shape the future of biomolecular
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on one or more projects working closely with the trial manager or senior trial manager throughout all aspects of trial set-up, recruitment, close-out, analysis and reporting. This will include working
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will also support the module convenors with the delivery and marking of ‘Repertoire Studies I: Music Before the Twentieth Century’ (Level 1), ‘Elements of Music I’ (Level 1), ‘Repertoire Studies II
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and quality of trial design, conduct, analysis and reporting. We are therefore looking to expand our fabulous team of Medical Statisticians. The successful candidate will contribute to trial design
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analysis and fabrication of material systems. As a core facility at the University of Nottingham, the nmRC supports research undertaken across all our faculties and collaborates extensively with industrial
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candidate will contribute to the design and analysis of thermal and fluid system and components, as well providing relevant thermal and fluids expertise to support the testing and analysis of empirical data