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Field
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measurement in construction. The skills, qualifications and experience required to perform the role are: Hold (or be close to obtaining) a PhD in Computer Science, Civil Engineering, Data Science, Information
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will be based at the University of Cambridge in the Department of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic
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supervision across the Schools of Chemistry, Pharmacy & Pharmacology and of Environmental Sciences, gaining experience in both laboratory and computational approaches. You will benefit from two 3-months
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completed, your award would state “PhD in your subject area” relating to the relevant Academic Department (e.g., PhD in Economics, PhD in Banking and Finance). Located in central London in the iconic Bush
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computing and analysis of data will enable the development of control mechanisms that will overcome one of the major barriers for exploiting the benefits of hybrid propellant propulsion systems. The project
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backgrounds such as in computer science, mathematics (pure or applied), or engineering. The successful applicant will be highly motivated, have excellent time management, and a proven track record in
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related to early detection and chromosomal instability in cancer. A background in computational biology, mathematics, or computer science is preferable, though we welcome applicants with relevant biological
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science policy, science communication and beyond. Further information on the programme and instructions on how to apply, including a link to the application portal, can be found on our website https
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Sciences; Molecular Genetic and Population Health Sciences and Clinical Sciences and the Royal (Dick) School of Veterinary Studies. The undergraduate medicine teaching programme in the College enjoys a high
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articulates with local workforce skill levels. The studentship project also involves a placement with a business developing digital ways of working. This studentship is part of the Management Integrated PhD