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microbial communities. In this role, you will develop hybrid species distribution models that combine climate and landscape data to predict how microbial taxa niches shift under changing land use and
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additive manufacturing of facial prostheses. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master's (or international equivalent) in a relevant science or engineering
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resource utilisation (post-discharge consultations and readmissions) and antimicrobial stewardship (reduced antibiotic use). Supervisors: Core supervisors to the PhD will be Professor Tricia McKeever1
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employment opportunities in both academic institutions and industry. This is an exciting opportunity for a suitable candidate where he or she will be exposed to the latest technology, learn from experts
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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, precise and is pathogen agnostic, you don’t need prior knowledge of which pathogen is causing the infection to use it as a diagnostic. Challenges remain however in standardisation, application and
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explore the nonlinear structural dynamics of LGSs to fully understand the complexity of their control. They will use this foundation to explore idealised and realistic control laws to virtually “stiffen
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This is a self-funded PhD position to work with Dr Adnan Syed in the Surface Engineering and Precision Centre. The PhD project will focus studying high temperature corrosion mechanisms in details
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The Digital Mental Health Group at the MRC Cognition and Brain Sciences Unit is an innovative and collaborative research group studying the intersection between adolescent mental health, cognitive
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of Engineering at the University of Birmingham and delivered in collaboration with industrial partners and the Quantum Technology Hub in Sensing, Imaging and Timing (QuSIT) – one of five national hubs funded by