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economics. An aptitude to undertake research and develop into an independent researcher. Experience in coding applied to the solution of economic numerical models is highly desirable. For full details please
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the wind/renewable energy training and research elements of the CDT programme. Funded by ESB and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area of economics and
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-expert audiences. Subject areas : Accounting, Business, Computer Science, E Business, Economics, Environmental Sciences, Finance, Hospitality, Human Resource Management, Information Services, Management
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
Business majors, they should demonstrate a clear interest in finance or economics. A strong quantitative background—particularly in mathematical modelling, statistical analysis, or computational methods—is
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component (MSc/MRes/MA), in a relevant discipline. Skills: Essential research skills, with a strong foundation in qualitative interviewing methods and fieldwork experience in community-based and participatory
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science related discipline. Demonstrated competence in applied quantitative methods, including regression analysis, evidenced through formal coursework, a quantitative dissertation or project, or equivalent
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Network “Neuromorphic computing and signal processing training network (MINDnet)”. The PhD project will take place at Strathclyde’s Institute of Photonics (IoP, Physics Dept.). Apart from the time at
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Application Deadline 27 Mar 2026 - 00:00 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through the EU Research Framework Programme
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Prestigious Global
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: There will be a shortlisting and interview process. RCUK eligibility: No Eligibility: Applicants should hold, or expect to obtain, a postgraduate degree in Computer Science, Artificial Intelligence, Data