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science. Preferred Qualifications Enrollment: Must be a current graduate student (Master’s or PhD) in a relevant field (e.g. Computer Science, Data Science, Learning Sciences, Educational Technology, or
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 2 months ago
USNH Employees should apply within Workday through the Jobs Hub app Position for a graduate student or adjunct to analyze ground magnetic field perturbations using machine learning techniques
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will be to support the delivery of the Department of English and Creative Writing’s BA programmes. You will be expected to teach a range of undergraduate modules, which will likely include Approaches
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, statistics, and machine learning – Experience in safe laboratory procedures. Effective verbal and written communication skills. Laboratory experience demonstrating attention to detail and commitment to safe
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and the substantive realization of our values and mission in the Hong Kong society and the world. The appointee is expected to (a) conduct independent and collaborative research; (b) teach multiple
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PhD) intending to take a full-time course of study in computer science, cyber security, technology, mathematics, computer engineering or data science at any New Zealand tertiary institution. Apply
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Electrical and Computer Engineering (PhD) Novel approaches to teleoperation and human computer interaction in medical robotics Sharada Balaji Doctor of Philosophy in Physics (PhD) Characterizing white matter
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to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity
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splitting and C–N coupling reactions. Work includes computational modeling of carbon-based materials, conducting simulations to understand reaction mechanisms, and developing and applying machine learning
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of over 30 years in the Department of Electrical and Computer Engineering. Students from her very first PhD graduate in 1985 to current lab members expressed deep appreciation for her profound generosity