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Field
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energy storage molecules. Solvent effects on catalysts, substrates, and their interactions, on the ensuing conversion pathways, and on their branch-points will be explored. Your work will strengthen
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modelling and simulation of transmission and distribution networks, including benchmarking data models, developing optimal power flow algorithms, and creating state estimation and multi-energy optimisation
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Your Job: Current political developments clearly show how crucial a robust and affordable energy supply is for society and the economy. The transition to a greenhouse gas-neutral, renewable energy
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of researchers. They will gain skills in: ✔ Artificial Intelligence (AI) & Deep Reinforcement Learning (DRL) for energy optimization ✔ Predictive Maintenance & Failure Analysis using Machine Learning and Physics
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) project, we are looking for a motivated and experienced PhD candidate to perform consumer flexibility aware planning of multi-energy districts. A particular focus lies on the modelling and optimization
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sunlight, air and water. Electrodes are a central component of the novel bioelectrochemical platforms for energy harvesting and microbial electrosynthesis. Optimal design of the 3D geometry and material
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markets and digital technologies in Luxembourg, together with several of the EU's main institutions and stakeholders that shape our energy transition. Located at the heart of Europe, the group consists
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consumption while guaranteeing optimal power production. You will work on the cutting edge of both wind energy and machine learning, two of the fastest growing scientific disciplines, to develop graph-based
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that enable energy-intensive industries to plan and optimize their production based on energy demand, power consumption, and sustainability. The current PhD position focuses on analyzing how digitalization and