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initiatives across UW Medicine. This position is responsible for advancing a seamless, patient-centered access experience through operational improvement, digital innovation, performance optimization, and cross
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anomaly detection, quality prediction, and process-parameter optimization. Further activities include validating the models through metal and polymer demonstrators, documenting and publishing scientific
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theory, machine learning, optimization, and decision-making. The project seeks to develop mathematical foundations and computational methods for the analysis, learning, and coordination of complex
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resolved air-pollutant emissions and exposures from observational data. -Work may include statistical or Bayesian inverse modeling, data assimilation, optimization, uncertainty quantification, numerical
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fabrication process design, development, and optimization. Implementation and enforcement of laboratory safety policies. Procurement of equipment and tools for the NFL. Evaluation of process
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conditions. To achieve this, our group operates through a robust process by integrating hypothesis generation from observational, cohort-based studies with downstream mechanistic studies in advanced in
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optimization of new reactions and for high-throughput synthesis of libraries for biological screening. Additional responsibilities include creating policies and procedures for use of the center’s facilities by
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testing of model-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs
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EU programme Reference Number AE2026-0227 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt
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sustainability-driven optimization of hybrid multi-material structures. The work focuses on bringing environmental and circularity goals into structural design alongside strength, stiffness, and cost