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field at the interface between optimal spreading strategies and opinion dynamics, with possible applications to infodemics, political polarization, and innovation spreading in modern society. The position
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in chemistry and biology, approaches for extracting relevant information from foundation models, and/or methods for adaptive experimental design such as active learning or Bayesian optimization
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responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and execute methods for characterizing and linking the texture and
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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fully funded postdoctoral position with two years of guaranteed funding. The project is part of a larger interdisciplinary research program called Pathogen Response Optimization by GENeratIng ThErapeutics
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the attribution of one Research Scholarship within the scope of the research project TRANSFACTORY Transporter proteins for the optimization of microbial cell factories, reference COMPETE2030-FEDER-00750700-16345
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the following conditions: OBJECTIVES | FUNCTIONS The purpose is to continue the research on Machine Learning methods applied to optimization techniques, in particular for the veicule routing problem. The idea is
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and provide feedback for optimization of therapeutic delivery. These research programs involve both in vitro and in vivo animal studies. The postdoctoral fellow will collaborate with basic scientists
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system performance in physiologically relevant settings. Explore and implement AI/ML tools for system optimization, data-driven control, or high-throughput analysis. Contribute to publications, IP filings
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reliability. The research will be conducted within the STRENGTHENS (Studies to Refine and Enhance Next Generation Therapies to Prevent Suicide) Group. STRENGTHENS focuses on developing, testing, and optimizing