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, to industrial catalysis and green energy production. This PhD project offers a rare opportunity to explore hydrogen surface collisions at a fundamental, molecular level to gain unprecedented insight into the role
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approach including empirical data analysis, experiments, and theoretical modelling to develop science-based management strategies for the restoration of woodland ecosystems. We will collect, and collate from
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collaboration between Swansea University and the STFC (Scientific Computing Department + Central Laser Facility). Funding Duration: 3 years Funding Comment This scholarship covers the full cost of tuition fees
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Government is included. International Students Swansea University is pleased to offer the Swansea University International Postgraduate Research Excellence Scholarship (SUIPRES). This is a competitively
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environmental inputs, algae physiological parameters and microbial community eDNA data to develop predictive mechanistic models which can be utilised to develop an optimal cultivation strategy. The project is
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that researchers in swarm robotics can use for developing more adaptive and efficient swarm systems [6]. Supervisory team: You will be based at SHOALgroup.org at Swansea University (Singleton Campus) and will make
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and biomaterials research within the Lab. This experimentally focused PhD position will fit a wide range of application interests, suitable for applicants from all engineering and scientific backgrounds
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exceptional candidates and nurture them to become the next generation of leaders in health data science. The successful candidate will have opportunities to access, and contribute to, training activities
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Data Science in the Faculty of Health, Medicine and Life Science at Swansea University, in addition to interacting with the research group in the Life Science department. The candidate will receive
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for health policy decision-making, these methods will be developed using a Bayesian framework. This PhD project will deliver a substantial contribution to original research in the area of health data science