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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
Posting Information Posting Details Department Mathematics - 318900 Posting Open Date 06/12/2024 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position Title
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req18787 Department Mathematics Department Website Link https://www.math.arizona.edu Location Main Campus Address Tucson, AZ USA Position Highlights The Department of Mathematics at the University of Arizona
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School: Keck School of Medicine - Institute for Technology and Medical Systems Position: Postdoctoral Scholar Research Associate This is a full-time, fixed term position. The Keck School of Medicine: Institute for Technology and Medical Systems Innovation focuses on the convergence of...
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experience Hardware experience, especially with silicon detectors, is desirable Good general knowledge of current high-energy physics and mathematical methods for physics applications is required Good
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and in cells, (iii) the development and evaluation of mathematical models that integrate binding kinetics into the prediction of drug activity, (iv) the use of biochemical, cellular, and/or in vivo
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molecular biology, quantitative genetics, mathematical modeling, or statistical genomics is required. Only persons currently legally able to work in the US will be considered. Preferences: Preference may be
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mechanical/aerospace/industrial engineering, applied mathematics, chemical engineering, or a related discipline earned no more than 3 years ago is required. Experience in modeling and simulation of three
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agricultural systems. Expertise in machine learning, deep learning, and algorithm development. Solid background in mathematics and statistics. Additional Information: Salary Information: Commensurate with
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mathematical and scientific foundations to the varied electrical and microelectronic disciplines in order to train high quality, independent thinking engineers and researchers that make measurable impacts
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, mathematics, atmospheric science, ecology, engineering). Proficient programming skills in at least one major scientific computing language (e.g. Fortran, Python, Julia, C++, etc.). Strong quantitative and data