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develops and executes sourcing strategies, conducts competitive solicitations, performs advanced financial and market analysis and negotiates contract terms to achieve optimal total value while ensuring
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QUALIFICATIONS Programming experience in C# or C/C++ Working knowledge of relational databases using SQL Working knowledge of numerical optimization Working familiarity with version control using Git Working
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requirements. Implement and monitor web analytics using tools such as Google Analytics to track performance and inform optimization strategies. Stay current with web design trends, emerging technologies and best
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the interaction between wind farms and the atmospheric boundary layer using a combination of wind-tunnel experiments, field measurements, and advanced numerical simulations. The ultimate goal is to gain fundamental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks that include numerous retail and restaurant discounts, savings on local child care centers and special rates
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cost optimization to ensure transparency and fiscal responsibility Conflict Management: Proactively addresses workplace challenges with fairness and professionalism, fostering a respectful and
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of chemically storing and releasing hydrogen, using methanol as a reservoir. Main activities: • Utilize global optimization codes and perform DFT calculations on supercomputers. • Analyze results and
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supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We
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, the IDLab research group (https://idlab.ugent.be/home ) performs research on 1) connectivity and 2) data science & artificial intelligence. In these research areas we focus on 1) foundations, 2) system design
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-efficient, open-loop optimisation of fermentation control profiles, building on recent theoretical developments in optimal control theory, reinforcement learning and numerical methods as well as laboratory