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. The PhD will focus on two complementary approaches: 1) Enhancing CDI with machine learning: improve this technique using convolutional neural networks (CNNs) trained on simulated data, enabling faster and
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methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent
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visiting university and government officials to promote global education and commerce. The selected candidate will be expected to teach undergraduate and graduate courses, with particular emphasis on Study
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that includes offices, classrooms, a large lecture hall, computer laboratories, a Student Learning Commons and Success Center, and a state-of-the art Simulation Learning Center. Through the use of simulation, we
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Assistant Professor, Department of Environmental & Global Health, School of Public Health [R0150958]
challenges and exposures, adolescent health, sexual and gender minorities (SGM) health, or native american health. The faculty member is expected to teach graduate and undergraduate courses in global and
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health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link: https://resources.uta.edu/hr/services
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. Required Qualifications: An earned PhD in a life sciences related field, such as Molecular Biology, Microbiology, Genetics, etc. A minimum of five years of post-doctoral wet bench research experience
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emerging technologies such as AI and machine learning, and ensure compliance with frameworks including NIST and CMMC. You will serve as a trusted advisor to faculty and campus partners while building and
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. Research in the lab is highly multidisciplinary and quantitative, requiring development and use of cutting edge computational modeling and statistical analyses (including machine learning and artificial
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retirement programs. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The University of South