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modelling predictions. Experience or a strong interest in scientific programming and machine-learning-assisted data analysis for materials modelling is an advantage. PhD Position 2 – Coarse-Grained and
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-order modeling, or machine learning Experience collaborating in interdisciplinary research teams What you will do Develop hybrid quantum–classical methods to improve simulation and prediction
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Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653 . The University of North Georgia, a regional multi-campus institution and premier senior military college, provides a culture of
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: Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical
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inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation and maintenance prediction and integrate analytics
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qualifications, experience and competence: A higher degree in Artificial Intelligence, Automation Engineering, Computer Science, Computer Security, Cosmetic Science and Technology, Electronic Engineering
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acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical
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Carolina System since 1969. Connections working at University of North Carolina Wilmington More Jobs from This Employer https://main.hercjobs.org/jobs/21994293/controls-commissioning-engineer Return
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: The Smart Manufacturing & AI Systems Engineer (KTP Associate) will work on: Data acquisition pipelines and IoT sensor integration Building machine learning models for forecasting, optimisation, and automated
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» Biological engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 30 Jan 2026 - 23:59 (Europe/Lisbon) Country Portugal Type of Contract Other Type