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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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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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, and optimizing ionization conditions. The ultimate goal is to integrate key negative ion mode features into computational workflows for enhanced proteome analysis. Refine bacterial lysis methods
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to develop and optimize experimental pipelines.Gain experience in both wet-lab and computational techniques to tackle some of the most important questions in microbiome science.Independently drive research
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Systems, Economics, Mathematics, Operations Research, Computer Science, or a related field Strong knowledge of quantitative and/or computational research methods, ideally in optimization and simulation
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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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background in distributed AI-based coordination, real-time optimization, and machine learning. · Experience with cloud-to-edge computing frameworks and their application in energy systems
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this exciting field of biomedical research, EpiSignal offers a state-of-the-art interdisciplinary training program at the intersection of cell signaling and molecular epigenetics, that optimally prepares doctoral
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optimization of novel organic reactions, as well as substrate scope investigation including isolation and characterization of products. You must have a two-year master's degree (120 ECTS points) or a similar