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of a vast and widespread amount of data are creating new economic and social opportunities in various fields. These developments are also posing numerous new scientific challenges for the optimization
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill
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on the development, theoretical analysis, and optimal implementation of numerical methods for systems governed by multiphysics and multiscale differential models, including the use of parallel computing architectures
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of the elderly to space robotics. We are now looking for a Postdoctoral researcher in quantum algorithms and optimization for Life Science applications. This is an early-career position for researchers who
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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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postdoctoral researcher with a solid background in one or more of the following areas: game theory, optimization algorithms, and numerical methods. The successful candidate will develop efficient algorithms and
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, inverse problems, optimization, numerical analysis. The projected base salary range is $100,000-$114,373 which represents the full range of anticipated compensation for this position. Compensation is
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disabled persons or persons of equal status will be given priority in accordance with SGB IX. The above position is one of 15 doctoral candidate positions of the MicroMan4Health doctoral network (https
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Department's Website: https://uapower.group/ Summary of Job Duties: The Process Engineer I - BEOL is responsible for developing, qualifying, optimizing, and sustaining semiconductor back-end-of-line (BEOL
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the UC Davis Campus, including dedicated support to the Veterinary School of Medicine and AUSS-C. This position is responsible for understanding, configuring, and optimizing the ecotime® time and