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incoming project requests and manage timelines and deliverables. Support experimental planning and study design, bridging spatial imaging and sequencing-based approaches. Help define optimal
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involvement in research activities) in one or multiple areas mentioned above. In addition, we request the following expertise: Convex/non-convex optimization Signal processing and general communications
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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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to different research groups and departments, the visiting scholars are hosted within one of our member research groups. USI will assure optimal collaboration with other relevant research groups and disciplines
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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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configuration management (Infrastructure as Code). Maintain and optimize HPC, cloud, and on-premise environments. Monitor system performance and implement security best practices. Collaborate with