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degree or equivalent. Due to the interdisciplinary nature of this programme, we welcome applications if your background is in any biological, chemical or physical science or mathematics and are interested
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Line manager: Senior Lecturer in Quantum Technologies Direct reports: N/A Our website: Semiconductor Photonics and Quantum Technologies | Mathematical and Physical Sciences | The University of Sheffield
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science, and advanced data analytics. It is ideal for a student from a mathematics or physics background eager to move into biology, or for a biologist keen to gain advanced quantitative skills. You will
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develop new treatments. These include existing multidisciplinary collaborations with engineers and physicists applying mathematical methods to image analysis and infection modelling. This will open new
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mathematical ecosystem modelling with experimental data. Our lab strongly supports cross-disciplinary approaches to research. We straddle the clusters of Molecular Microbiology and Ecology and Evolution, and you
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hypothesize that embryonic failures occur at stereotyped checkpoints. The project is suitable for a mathematics/physics student interested in biology or a biology student wishing to gain quantitative skills
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ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling to pioneer innovative sealing solutions. What We Offer Full 4-year Funding for UK applicants
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. Candidate Requirements: Minimum 2.1 undergraduate honours degree or Master’s degree with Merit in a relevant discipline (such as Computer Science, Mathematics or others related to the PhD topic
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, Computer Science or Mathematics. If English isn’t your first language, you’ll need an overall IELTS score of 6.5 with at least 6.0 in each section Eligibility This project is open to Home (UK) students. To be
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and a Masters, or a Distinction at Masters level with any undergraduate degree (or international equivalents) in Chemistry, Computer Science, Engineering, Physics, or Mathematics and Statistics, we