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for Science and Engineering in the doctoral programme in Engineering Sciences aiming to provide interdisciplinary and internationally competitive research training. Your Responsibilities: Conduct research in
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computer science and information system engineering while collaborating in a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and build a robust anonymization
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between information systems, computer science, and energy markets Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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of the program For further information, please contact Dr. Mert Bayraktar Your profile Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields
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post-doctoral researchers from diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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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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to accelerate 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
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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