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Field
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precision medicine algorithms for critically ill patients using EHR data. We are looking for a full-time data analyst with proficiency in R and python, and the ability to take machine learning projects from
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training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
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] o Condensed Matter Physics (e.g., strongly correlated electron systems, ...) o Quantum Information Science: Quantum Computing, Quantum Algorithms, Quantum Communication, Quantum Metrology, Quantum
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Monte Carlo algorithms as directed by Professor Sandeep Sharma in the Division of Chemistry and Chemical Engineering. Essential Job Duties Develop and maintain auxiliary field quantum Monte Carlo
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processing algorithms from concept to implementation. Eligibility to obtain a United States SECRET clearance (or higher) is required for ongoing employment in this position Minimum Qualifications: 1
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candidate will investigate new algorithms and models to develop, implement, and test multimodal machine learning algorithms to analyze and recognize multimodal human behavior in real world settings. Specific
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using diffusion algorithms. Curate a microscopy image and time series database. Is Time Limited No If Yes, Appointment Length Wolfpack Perks and Benefits As a Pack member, you belong here, and can enjoy
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biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis
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/experience areas include: A Master’s degree in Electrical Engineering, Computer Engineering, or Mechanical Engineering GCC/Eclipse based toolchains Linux and embedded real-time operating systems DSP algorithm
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magnetometry measurement and analysis of the Nab spectrometer magnetic fields, help develop the BL3 DAQ and algorithms, carry out Monte Carlo simulations for Nab and BL3, and help undergraduates at EKU finish