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relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work independently, excellent analytical skills and strong verbal and
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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply For information on how to apply, please see Postgraduate Funding Search | Newcastle
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of Physics & Astronomy and Computer Science, joining an interdisciplinary team bridging spintronics, photonics, and materials science. During your PhD you will gain hands-on experience in: ultrafast laser
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life sciences degree, A-Levels or above in maths, statistics, or computing modules are desirable. With a physics or maths degree, life sciences modules at undergraduate level are essential. - Skills and
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partners across Europe allow a particularly wide skills training, including experimental and computational work. Applicants should thus have a first (or upper second) class degree in chemistry, biochemistry
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to submitting an online application, you will need to contact the project supervisor to discuss. Online applications click the 'Apply' button. Please select Computer Science on the Programme Choice page. You will
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to commercialise the outputs of the project. Project specific entry requirements: Minimum 2.1 (or equivalent) degree in Zoology/Biology, Engineering or Computer Science/Data Science. Department: Ecology and
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About the programme The Department of Economics at Royal Holloway, University of London is a centre of research and teaching excellence. Over 98% of our economics and econometrics research
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processes and while this is a very specific application there are many uses for this type of technology and data. The ability to capture detailed movements of players over the entire pitch takes the landscape