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: · Developing mathematical optimization approach and tool for optimal operation of smart low voltage grids with high penetration of distributed energy resources · Producing quality research outputs (e.g
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-en/research-groups/finatrax/ The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating
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translated into comprehensive regional action plans and guiding documents. Two solutions - one focusing on medicine use and the other on wastewater treatment - will be designed and developed to reduce
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: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ In particular, the successful candidate will be part of the Data-Driven Energy Transition NCER Project (D2ET
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. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ In particular, the successful candidate will be part of the Data-Driven Energy Transition NCER Project (D2ET
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you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be mainly in charge of: · Develop novel AI-based operation and analysis tools
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(SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Europe by
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for optimal operation of smart low voltage grids with high penetration of distributed energy resources · Producing quality research outputs (e.g., scientific papers, software, reports, project
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and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities