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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing
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. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
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attitudes. Do you want to take part in shaping the future? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position There is a vacancy
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? ... (Video unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) PhD position There is a vacancy for a PhD Research Fellow in Climate/Renewable-Energy at
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hydrometeorological and climatological) hazards, involving the quantification of effects on individual assets/infrastructure components (e.g., buildings) as well as network-level and distributed-system disruptions; 2
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The School of Natural and Built Environment is seeking to hire a Postdoctoral Research Fellow to work on the €20/£17.3m multi-partner, all-island geothermal energy demonstration project GEMINI
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Protection in Digital Twins Apply for this job See advertisement About the position Position as PhD Research Fellow in formal methods for data protection in digital twins is available at the Department
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The School of Natural and Built Environment is seeking to hire a Postdoctoral Research Fellow to work on the €20/£17.3m multi-partner, all-island geothermal energy demonstration project GEMINI
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Engineering . The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching (10%) and other
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tokamak geometry on turbulent regimes and power-load distribution in double-null configurations Build-up a comprehensive database based on these simulations and analyze data Job Requirements: PhD degree in