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forefront of hydrogen technologies and their integration to the energy systems. The successful candidate will hold a PhD degree (or close to completion) in Mechanical/Electrical Engineering or related subject
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Application Deadline 8 Dec 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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at the forefront of innovation in developing engagement and participatory mechanisms, collaborating with a diverse network of experts to influence local and national governments, campaign and community groups as the
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About us The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics – all departments highly rated in research
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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advanced catalytic materials, as well as evaluating and optimising plasma-catalytic processes for CO2 hydrogenation. You will work to get new insights into the reaction mechanisms in plasma-catalytic CO2
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research in quantum sciences and fosters future innovation. The Brukner group currently consists of an international team of 9 young researchers (Master, PhD, and Postdoc levels). For more information
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for high-accuracy Additive Manufacturing” (PAAM) in the department of Engineering, Computing and Mathematics (ECM) at Oxford Brookes University, Oxford, U.K. The position, funded by the Engineering and
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on and defensive mechanisms for safe multi-agent systems, powered by LLM and VLM models. Candidates should possess a PhD (or be near completion) in Machine Learning or a highly related discispline. You