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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Position Title Postdoctoral Research Associate Vacancy ID PDS004629 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring
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, analysis, and optimization. The goal of the project is to develop methods for the synthesis and analysis of systems producing renewable fuels and chemicals; and use these methods, in collaboration with other
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team working at the interface between chemical engineering, data science, and semantic web technologies. The work will be tightly integrated with other digitalization activities at DTU KT
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, Synopsys/Ansys, Siemens). Willingness to work on cross-stack optimizations and learn new skills. Preferred Qualifications Experience with multi-physics simulations for thermal, mechanical, and reliability
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coating production and coating use. Test methods Reliable and fast test methods to optimize coating performance is of utmost importance in coatings development. We work on new test methods and optimisation
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Position Summary This position will primarily support the implementation of a newly funded National Institute of Mental Health R01 grant focused on optimizing a digital chatbot intervention for
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Participation in experiments as well as design and construction of instruments and/or sample environments with practical work at neutron sources Supervision of MSc and BSc students Presentation of research
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mark on the national, continental, and global stages. Job Description: We are seeking a postdoctoral researcher specialized in the modeling and optimization of waste management systems. The successful
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coatings, to protect the LFP particles while optimizing their performance in high-energy-density applications. The coated LFP materials should exhibit superior mechanical and chemical resilience, ensuring
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executing manufacturing trials, and operating high-temperature furnaces and metal forming equipment. The researcher will be responsible for optimizing processing parameters to enhance composite performance