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Field
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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full-time in Geography at Durham University , and will work closely with colleagues in NZ involved in the Hōretireti Whenua Sliding Lands programme at GNS Science and University of Canterbury
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through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing
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additive manufacturing. This project will be closely aligned with the ATI research program (I-Break: Wire-based DED Technology Maturation and Landing Gear Application) and other industrial research projects
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://www.bris.ac.uk/pg-howtoapply . Please select Mechanical Engineering on the Programme Choice page. You will be prompted to enter details of the studentship in the Funding and Research Details sections of the form
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all sub-skills. International applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply You
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-protection-science/ ) and Security Lancaster (https://www.lancaster.ac.uk/security-lancaster/ ), one of the UK’s largest security research institutes. Supervisors: Dr Ashley Fraser, School of Computing and
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biology, chemistry, psychology and social science, facilitating knowledge discovery. The intuitively uninterpretable high-dimensional data and network data become visually scrutable upon being mapped into 2
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Application deadline: All year round Research theme: Computational Chemistry, Material Science No. of positions: 1 Eligibility: UK students This 3.5-year project is fully funded by industry and home
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are part of the programme. The research is funded by the Centre of Propulsion and Thermal Engineering at Cranfield University. The work will be conducted at the Cranfield icing wind tunnel (IWT) based