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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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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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candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence
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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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. 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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, 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
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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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qualitative data acquired through focus groups and interviews with regulators, manufacturers and engineers, and deriving analytic insights into material perceptions and values. In addition, they will oversee
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PhD project (such as Electrical Engineering or Computer Science) is our standard entry, however we place value on prior experience, enthusiasm for research, and the ability to think and work
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responsibilities — between countries, regions, and generations — are emerging as key concerns in both academic and policy debates. This PhD will explore how different CDR approaches — including engineered options