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EPSRC iCASE PhD studentship with SLB - Computational modelling of advanced geothermal systems School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students
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, with a background in Engineering, Mathematics or a related discipline. Depending on experience and academic background, successful candidates should have experience in one or more of the following
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, Analytical Chemistry, Materials Science, Chemical Engineering or a related discipline. A strong background in materials science, enzymatic processes, or polymer chemistry, particularly carbohydrate
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orbital parameter extraction using image processing techniques. The ideal candidate should have a strong background in physics, engineering or a related field, as well as experience working with programming
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sustainable healthcare, healthy aging, and inclusive design, and offers a unique opportunity to contribute to socially impactful innovation in biomedical materials and wearable technology. At The University
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conceptual and experimental framework for engineering functional nanostructures from bottom-up principles. The work will benefit from access to robotic processing platforms and state-of-the-art microscopy and
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. Creation of these ABMs will advance our understanding of why evolution selects and maintains individual heterogeneity [1]. You will apply this knowledge to engineered swarm systems. Swarm systems tend
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by for example, exploiting differences in pH occurring between storage/usage and post-use in the environment, or by specifically engineering biodegradable sites into the chemical substitutions. To find
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opportunity in composites materials for space application research in the Composites and Advanced Materials Centre and the Centre for Defence Engineering at Cranfield university. The focus of this PhD will be
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, at least a 2.1 honours degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. Strong background/skills on machine learning, mathematics, probabilistic