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create a toolbox to help design local integrated energy and heating systems that fit local needs. These solutions are tested in real-life situations to prove their effectiveness. The overarching goal
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Policy, Energy Transition and Industrial Decarbonisation. Project description Climate change mitigation calls for steep cuts in greenhouse gas emissions. To realize these reductions, industry and the
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PhD on Coupled Subsurface Processes in Mine Water Thermal Energy Storage Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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Apply now The Faculty of Science and the Leiden Institute of Advanced Computer Science (LIACS) are looking for: PhD Candidate, Reinforcement Learning for Sustainable Energy This position is embedded
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As urban populations grow and energy demands rise, urban-scale energy system modelling is critical for reducing emissions, enhancing resilience, and integrating high shares of renewable energy
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PhD: Urban-Scale Flexibility and Climate Impact Assessment on Urban Energy Demand (V25.0226) « Back to the overview Job description As urban populations grow and energy demands rise, urban-scale
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to train an AI model that predicts the cis-regulatory code for synthetic genomes (i.e. for cell-free gene expression systems) and correlates the experimental conditions within the synthetic cell
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the North Sea. The spatial planning and use of the North Sea over the next 30 years will be fundamentally shaped by a shift away from fossil (oil and gas) to renewable (primarily wind) energy. The Dutch
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and physics, electrochemistry, nanopores, energy devices, fuel cells, osmotic energy, membrane chemistry and physics, organic chemistry The research project For a successful energy transition wherein
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, Mathematics and Computer Science (EEMCS). We work on next-generation power electronics, energy systems for smart grids, advanced battery electronics and management, power devices, power and energy measurements