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, and data scientists 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
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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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decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy
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of optimization and flexible query answering reduction or enrichment because it impacts on which L-grades (and their corresponding objects) are kept into consideration for further computations. • Fusion relates
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of CRC-associated mucin mRNA isoform signatures in predicting the optimal therapy. These research objectives will be approached using established high-throughput next-generation sequencing, molecular
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for wind turbines, with the ultimate objective of including structural health information in windfarm asset management to optimise structural lifetime consumption while guaranteeing optimal power production
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network application that enables real-time control and video transmission for remote vehicle operation. The project will develop a prototype, rigorously tested in both lab environments and real-world
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Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel computing, search and optimisation techniques
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Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel
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Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research