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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost
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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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management Guide M.Sc. students Participate in a dedicated training plan For further information, please contact Prof. Gabriele LENZINI at info- and Prof. Pedro CARDOSO-LEITE Your profile The ideal candidate
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required Experience with clinical trials Experience with data analysis Experience with RedCAP Experience with large-scale data, such as genomics and transcriptomics data Programming experience, preferably in
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the acquisition of a doctoral degree. The research programme of these individual researchers will be integrated into a set of 8 work packages that include the participation of 16 highly-reputed European academic
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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collaboration with the candidate, a detailed research plan will be drafted aiming to unravel mutational robustness and evolvability in Escherichia coli. The work will involve genome editing (CRISPR), genetics
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group and the Department of Political Science at the University of Antwerp and the Realities of Algorithmic Warfare program at Utrecht University. Profile You hold a Master's degree in International
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student to join Flanders AI Research Program. Our team focuses on developing new technologies for handling veracity in computational and artificial intelligence with diverse applications in decision making