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research on characterizing non-coding regulatory elements in humans and understanding how these elements change across different conditions. The project will involve developing new modeling approaches
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Nevada. For more information, visit us on line at: http://www.unlv.edu EEO/AA STATEMENT The University of Nevada - Las Vegas (UNLV) is committed to providing a place of work and learning free
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QUALIFICATIONS: • PhD in Electrical and Computer Engineering, Mechanical Engineering, Physics, or a closely related field. • Demonstrated expertise in MEMS/NEMS design and modeling, including finite element
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to study the structural enzymology of proteins responsible for blood coagulation (https://biochem.slu.edu/faculty/dicerawp/) with the goal of unraveling the molecular architecture and mechanism
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SPECIFICS The Department of Electrical Engineering at Penn State is seeking a Postdoctoral Scholar. The successful candidate will work on using machine learning tools for electronic design automation
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to collaborate with other researchers, and mentor graduate and undergraduate students, and may also teach one course per year for the Department of Statistics. A Ph.D. in Statistics, Biostatistics, Machine
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manipulation and harmonization of large U.S. branded food databases, including application of AI tools for nutrient attribute coding, ingredient extraction, and large-scale dataset harmonization; Leading
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) consortium as well as part of an ENCODE functional characterization center. The lab is especially interested in non-coding cis-regulatory elements (CREs) and the variation within them, using high-throughput
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, Machine Learning, or a directly related field at the time of appointment is required. The successful applicants will be expected to have a strong statistical and computational background, research
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 12 days ago
element of the terrestrial carbon cycle. NASA's Goddard Earth Observing System Model (GEOS) utilizes the Quick Fire Emissions Dataset (QFED) to represent emissions from vegetation fires in order to model