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science, mechanical engineering or physics. This interdisciplinary project requires a passion for both experimental work and computational modelling, along with a keen interest in learning fracture
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engineering or a relevant area. An MSc degree and/or experience and good knowledge in gas turbine theory, thermodynamics, Machine Learning, and computer programming will be an advantage. Funding Sponsored by
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placement during your third year. Standard Programme Requirements Applications are invited from students with backgrounds in Bioscience, Biochemistry, Microbiology, Biotechnology, Environmental Science, Plant
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Sciences, Environmental Sciences, Earth Sciences, Material Sciences, Biochemistry. Must have analytical chemistry skills and good numeracy; experience of mathematical coding would be desirable. Start date 1
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Engineering Research Group) Aim: Develop a mathematical model for analysing reliability and efficiency of medical processes Background Adverse events and preventable failures in healthcare services represent a
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with engineering, physics, mathematics, acoustics, fluids, electronics or instrumentation background. Prior experience in computational modelling is beneficial, but not mandatory. Similarly, experience
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in a related discipline. This project would suit motivated graduates from a wide range of STEM backgrounds—including environmental, civil, chemical or mechanical engineering, computer science, robotics
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applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select PhD in Computer Science on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and
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second class UK honours degree or equivalent in a related discipline, such as computer science, mathematics, or engineering. The candidate should be self-motivated and have excellent analytical, reporting
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, covering aspects from engineering, manufacturing, economics and public perceptions. They will also develop the Diagnostic Discard exhibition to engage a broader public to consider diagnostic waste. See full