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than 1,800 employees and nearly 21,600 students. Under the research subject Process Metallurgy at the Department of Civil, Environmental and Natural Resources Engineering, we are looking for two Ph.D. students
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initiative integrates innovative programs in health-system–scale genome-informed care; clinical natural language processing and large language models for clinical data capture and communication; and hospital
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parallel processing, FPGA coding and analysis, along with Machine Learning and AI based image analysis. The final aim of the project will be to generate in-situ / live film profile data to coating line
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of protein variants Demonstrated experience with pooled, massively parallel screening approaches coupled to next-generation sequencing Skills to independently establish assays in yeast as a host system You
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research teams. Preferred Qualifications Experience with commercial and/or open-source GIS tools and technologies. Experience in parallel computing (e.g., MPI, Spark) and/or cloud computing (e.g., AWS
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of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
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column. This parallel study will allow to integrate short-term, ecological observations on the climate-driven Rhizarian response, as well as related oceanographic processes, including productivity and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 hour ago
job scheduling, resource allocation, and parallel computing. Special Physical/Mental Requirements N/A Campus Security Authority Responsibilities Not Applicable. Special Instructions Quick Link https
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vocal processes depend on auditory-guided motor learning during a sensitive period of development, and exhibit many parallels at the behavioural, neural, and genetic levels. Their acquisition and
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics