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positioned in the Esbjerg Energy Section. Research areas will focus on AI-driven control systems, grid-forming inverter technologies, and intelligent energy storage integration using second-life EV batteries
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sciences (chemistry, biology, physics, etc.), engineering (i.e., biomedical, biochemical, chemical, electrical, computer, pharmaceutical, etc.), pharmacology, computer and information science (i.e
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questionnaires and tests, score test measurements and questionnaires, and code data for computer entry. Perform quantitative review of forms, tests, and other measurements for completeness and accuracy. Extract
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on controlled substances and particularly hazardous substances, including carcinogens, reproductive toxins, and highly toxic chemicals 7. Ensures compliance with DEA requirements and KSU's controlled substances
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, carillon and clock mechanisms, special scientific equipment, presses, computer consoles, milling machines, vehicle washers, conveyors, gate and door opening mechanisms and hydraulic dock and electric lifts
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infrastructure. The incumbent is responsible for the installation, maintenance, and repair of electrical and control systems, ensuring safe, reliable, and efficient operation of building automation equipment
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
Position Number 20064177 Vacancy ID P020754 Full-time/Part-time Permanent/Time-Limited Full-Time Permanent If time-limited, estimated duration of appointment Hours per week 40 Work Schedule Monday – Friday
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control framework for microfluidic live-cell analytics in close collaboration with partners at HZI, Helmholtz Munich and HHU. Your tasks in detail: Establish deep-learning–based segmentation, species
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Posting Details Position Information Fiscal Year 2025-2026 Position Title Infection Control and Safety Manager Posting Category Staff Department Compliance Posting Number U250101 Posting Link https
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machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement tasks to work with