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sustainability assessment of pharmaceuticals by enabling early-stage prediction of environmental impacts, optimizing synthetic pathways, and supporting data-driven decision-making for greener drug development
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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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together with a Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains
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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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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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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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designed and is managed to optimally use the available electrical and thermal energy. In essence, focus has shifted from optimizing production goals and subsequently determining where and how to get energy
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Job description PhD - Researcher in the domain of Smart Warehouse Optimization The ISyE (Industrial Systems Engineering) research group is active in the domains of Smart Manufacturing Systems Design