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optimization and simulation models. Skills in a major programming language such as Python A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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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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, biochemistry, genomics, bacterial genetics and bioinformatics. You can work both independently as well as in an international team You can plan and perform laboratory experiments accurately You have strong
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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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to adapt way of working to the research population of this study, especially children and adults with intellectual and motor disability and their caregivers. Proficient in verbal and written English and
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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
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English and Dutch, preferably also French. Ability to summarize data extracted from literature and to define research objectives. Passion for science, self-motivation, flexibility, and team spirit Desirable
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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