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positive impact upon society. The School has an extensive portfolio of research from offshore renewable energy, coastal engineering and robotics to cybersecurity, artificial intelligence, and data science
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performance computers. Apply the developed code to evaluate the performance and survivability of emerging offshore renewable technologies such as floating wind and wave energy converters. Prepare papers
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, multidisciplinary research network called “Renewable Energy Access for Future UK Net-Zero Cooling (Reef-UKC)” under the funding scheme “EPSRC Network funding to discover the next generation of renewable energy
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20 Apr 2024 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 23 May 2024 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job...
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Application deadline: 31/07/2024 Research theme: Offshore renewable energy; water waves How to apply: Please click the 'Apply' button, above. The design of offshore renewable energy systems should
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during periods of minimal sunlight. The ability to store energy is what makes CSP a flexible source of renewable energy. A fluid (often, molten salts) is heated inside the receiver and is used to generate
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Civil, Maritime & Environmental Engineering Location: Boldrewood Campus Salary: £34,980 to £42,978 Per annum Full Time Fixed Term until 31/08/2025 Closing Date: Thursday 23 May 2024 Interview Date: To be confirmed Reference: 2689724DA We seek to recruit a future-looking visionary early career...
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Study of Direct Air Capture and CO2 Utilisation Driven by Renewable Energy through Modelling and Simulation Department of Chemical & Biological Engineering PhD Research Project Self Funded Prof
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) assessing the long-term effectiveness of a dairy farm’s renewable energy utilisation via the kWh/Litre cost-metric, and (2) providing real-time decisions to maximise the use of generated renewable energy on
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Integration of renewables into energy systems-forecasting model development and analysis Department of Mechanical Engineering PhD Research Project Self Funded Prof M Pourkashanian, Prof L Ma