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engineering Machine learning or AI methods (e.g. anomaly detection, classification, regression, time-series modelling) Programming skills (e.g. Python, MATLAB or similar) Experience with industrial systems
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and uncertainty (e.g. demand evolution, renewable generation) influence system performance and trade-offs. The research will combine analytical modelling with data-driven and AI-based methods
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. We invite passionate and innovative educators to join our mission-driven team, where you can enjoy a fulfilling work-life balance and competitive benefits, including a robust pension plan. Our
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
remote work location, consistent with System Office policy. UNC Chapel Hill employees are generally required to reside within a reasonable commuting distance of their assigned duty station. The Data-Driven
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software Engineering: Excellent software development
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will be leaders in promoting justice and the public good in the new age of technology and globalization. The Associate Dean for Strategic Initiatives, Admissions and Financial Aid works closely with
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of £280,000. Responsibilities include creating and refining models to predict particle behaviour, calibrating them to 95% accuracy, and establishing sensor systems for real-time data acquisition. You will
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work employs genetically engineered mouse models, pharmacologic and surgical perturbations, and longitudinal phenotyping to interrogate disease initiation and progression at cellular, tissue, and systems
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/impact, (iii) brief approach (models, data/testbeds), (iv) evaluation plan, and (v) alignment with IDLab research on flexible and deterministic networking at the University of Antwerp (https