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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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Scholarship Council has many different programs that offer scholarships for doctoral studies. The two most frequently used programs are: Ghent University has signed a cooperation agreement with the China
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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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Knowledge of electronics, programmable logic, and processing systems is an advantage Strong analytical and programming skills are required (Python, VHDL, Matlab, and C/C++). Prior proven experience in data
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conferences Contribute to reports and research activities in support of project management Guide M.Sc. students Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp
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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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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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for five years, from November 30, 2023, to November 30, 2028. Under this agreement, UGent and CSC co-finance about 50 new CSC PhD students annually. Students selected through the UGent-CSC preference program
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considered a strong asset. Experience with cybersecurity and programming. Communication Skills: Proficiency in written and oral English (French is considered an advantage) Good academic writing Strong interest
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/electrical engineering, or a related field.Strong interest in automation and laboratory robotics.Basic experience in wet-lab microbiology techniques.Willingness to learn programming and computational analysis