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, evaluating market structures and policies, and developing recommendations to support reliable supply, energy communities, and innovation. The candidate will also explore regulatory obstacles to a data-driven
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· An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects · Sustainable by design, empowering our belief
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· Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society · Innovative infrastructures and exceptional labs occupying more than 5,000 square
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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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relevant stakeholders. In the context of this project the candidate will design and implement a cutting edge international Energy System Model that delivers comprehensive energy economic insights, supporting
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proof-of-concept software tools Machine learning is a plus Strong analytical and programming skills are required (Python, Matlab, and C/C++). Prior proven experience in data-driven innovation projects is
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, Large Language Models, Human-Computer Interaction, Virtual reality. The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based
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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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the Biological and Soft Systems group of Prof. Eugene Terentjev at University of Cambridge, UK. In addition to carrying out fundamental soft matter physics and chemistry innovation, we will demonstrate
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training plan For further information, please contact Prof. Gabriele LENZINI at info-irisc@uni.lu and Prof. Pedro CARDOSO-LEITE pedro.cardosoleite@uni.lu