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and resilience planning for the Treasure Valley. Unit URL https://iwrri.uidaho.edu/ Position Qualifications Required Experience Experience working with quantitative analysis, modeling, or data-driven
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pollution, air-climate interactions, built and natural environments in the context of cities, megacities and rural areas, with an aim to develop engineering-driven solutions and regulatory strategies for
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC
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non-renewal is not required. Major Responsibilities: Participate as an integral member of a highly technical, mission-driven research team, forging active communication among HAIC researchers across
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, Ghent University is a logical choice for its staff and students. Within the faculty of Engineering and Architecture, the IDLab research group ( https://idlab.ugent.be/home ) performs research on 1
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-Language Models Apply for this job See advertisement About the position Integreat - the Norwegian Centre for Knowledge-driven Machine Learning is seeking a motivated PhD candidate to join our
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. The BRC Data, Diagnostics and Decision Tools theme focusses on the use of healthcare data and data analytics to accelerate the benefits of data-driven discovery, translation and digital innovation for
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- smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain screening and engineering for
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faculty of Engineering and Architecture, the IDLab (Internet technology and Data science Lab, UGent-imec) research group performs research on (1) Connectivity and (2) Data Science & Artificial Intelligence
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 1 month ago
methods to pharmaceutical manufacturing and product characterization. The fellow will collaborate with and learn from multidisciplinary FDA scientists to develop data-driven and first-principles models