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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Position Title Post-Doc Research Associate Vacancy ID PDS004495 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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pursue this venture. KAUST’s culture embraces a healthy work and life balance. The university campus is located on the Red Sea's shores, built to protect the fragile coastal ecosystem, which includes a
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materials to jonc101@stanford.edu (link sends e-mail) Does this position pay above the required minimum?: Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered
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tools that enable optimal design and operation of greener vessels, backed by real-world demonstrations. The successful candidate will work at the intersection of multi-disciplinary modelling, advanced AI
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, treatment planning, and patient care. The research will involve data collection and preprocessing, model architecture design, pre-training and fine-tuning, evaluation and benchmarking, and model optimization
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the Manufacturing Science Division (MSD), Energy Science and Technology Directorate (ESTD) at Oak Ridge National Laboratory (ORNL) to work in the areas of life cycle energy impacts analysis, technoeconomic analysis
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outstanding centre of teaching and research excellence, a warm and friendly place to work, a unique and historic setting – Durham is a university like no other. As one of the UK’s leading universities, Durham
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of the research project within your department. Your work will require the theoretical and practical application of a body of highly specialized knowledge. Tasks you will be responsible for may include: organize
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resume are strongly recommended and will help in our review. You may upload them on the application under the CV/Resume section. Schedule/Travel: Occasional weekend or evening work to monitor mouse health
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for: Designing optimization-based decision-making frameworks for zero-emission vehicles and charging infrastructure. Analyzing theoretical guarantees of these frameworks using tools from optimization, dynamical