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advising services. The program provides support to traditional and non-traditional students in the CON graduate programs (MN, DNP, PhD, MEPN). This position directly supervises the Spokane graduate advisor
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advising services. The program provides support to traditional and non-traditional students in the CON graduate programs (MN, DNP, PhD, MEPN). This position directly supervises the Spokane graduate advisor
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group broadly on supermassive black hole binaries. If you have experience in observations or variability studies of quasars, big data and machine learning especially for time-domain astrophysics, as
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analyses and apply statistical calculations. Experience in data mining, machine learning using systems such as Python/Minitab. Effective or functional knowledge of MoldFlow, Flow 3D, CFD, or similar
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including, but not limited to: systems/application security, privacy-preserving computing, applied cryptography, formal methods for security, security of machine learning systems, machine learning
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fields, including, but not limited to: systems/application security, privacy-preserving computing, applied cryptography, formal methods for security, security of machine learning systems, machine learning
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are applicants whose research and teaching expertise are in one or more of the following areas: cybersecurity, mobile computing/IoT, data mining, machine learning/AI, visual computing, and high-performance