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the impact of two highly controlled, short-term lifestyle interventions. Through these interventions, the project seeks to achieve deep phenotyping related to insulin resistance, advancing our understanding
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(PyTorch, TensorFlow, Explainable AI techniques, etc.) and R Solid experience with Linux/UNIX operating systems (command line scripting, highperformance computing clusters, and GPU-based training) Experience
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of the information exchanges between policymakers and interest organisations in i) natural and ii) researcher-controlled settings. This combination of methods will generate unprecedented quantitative and qualitative
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optimization, process flow diagram development, equipment parameter tuning, and reactor or system design. Experience in process scale-up, separation techniques, and process control systems is highly beneficial