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in the field of artificial intelligence for renewable energy. This PhD opportunity within the research group Modelling for Sustainability (M4S) offers you the chance to contribute to climate change
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Job related to staff position within a Research Infrastructure? No Offer Description Are you eager to find out how we can motivate and enable employees to perform well in the renewable energy sector? Do
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to perform well in the renewable energy sector? Do you have a keen interest in understanding the psychological dynamics of employees when they transition from working from on-site mechanics to remote
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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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stand-alone storage integrated with solar PV for individual houses. Research so far is focused on energy management, with little work conducted on the design of such systems. Specifically, there is a lack
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Modeling and Computational Methods in Finance, with a focus on Renewable Energy Markets. This role is perfect for someone who not only has a strong foundation in stochastic modeling and computational finance
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to the dynamic and increasingly vital area of renewable energy markets. As a PhD candidate in our group, you will dive deep into the complexities of financial mathematics, developing and refining models and
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at the Institute of Physics of Rennes. We are a highly collaborative and international team with more than 20 researchers working in the areas of ultrafast spectroscopy, crystallography and energy conversion. Our
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engineering. Experience with soil mechanics, numerical modelling, and/or experimental testing is desirable. A passion for sustainability and renewable energy, and a desire to contribute to a sustainable future