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adjustments. Makes adjustments to ensure optimal system operation. Tests water in cooling towers; adds chemicals for control of alkalinity, algae, and scale formation in condensers. Test the water in closed
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systems on the path towards a sustainable future. The position is initially limited to 6 months, but can be extended (there is funding for up to 4 years). You can expect: Creation of optimization models
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, Molecular Biology, Chemistry, Biotechnology, Biophysics or related for the preparation of a Master's thesis for a duration of 6 months. The topic of the thesis is “Optimization of DNA Synthesis via
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charging stations is influenced by different system solutions. Methods to be used include data analysis, modeling, simulation, and optimization. The research is part of a larger project that also, in
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
-series databases optimized for astronomical data storage and retrieval is preferred. Prior experience translating scientific requirements into technical specifications and building researcher-friendly
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, Categorical Data Analysis, Optimization, Time Series Analysis, Survival Analysis, Actuarial Mathematics, Data Mining and Bayesian Statistics are welcome. Candidates are also expected to teach post graduate
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University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because
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the optimal reading of magnetic information via non-linear effects. The project also foresees the integration of optimal working materials into functional nanodevices. The research to be performed will require
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optimal animal health, welfare, and productivity. This position also provides leadership in integrating research and teaching activities within the facility, supporting academic programs, and applied
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, early detection of degradation, and residual life prediction. The program integrates physical modeling, machine learning, and data fusion techniques to optimize predictive maintenance, reduce operating