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contribute to advancing simulation-based testing methods for ADS. You will contribute to cutting-edge research projects, including the EPSRC-funded SimpliFaiS: Simplification of Failure Scenarios for Machine
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Computer Engineering (PhD) Cross Stack Optimizations for large Deep Learning Models Joseph Liang Doctor of Philosophy in Neuroscience (PhD) Linking dopamine signalling and downstream behaviours in vivo and
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UK universities through Japan-UK ASPIRE program, covering synthetic biology, machine learning, and quantum computing, will be available. We promote equal opportunities, diversity, and inclusion
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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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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
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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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sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve
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, machine learning, or science that will establish eligibility for PhD study. Applications close on 28 November each year. For more information and to apply visit The Patrick Shannon Scholarship . RMLA
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be considered to accommodate candidates as required. To learn more about these options, please contact the hiring team using the contact information below. The Role We are looking for a Senior Coastal
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Computer Engineering (PhD) Cross Stack Optimizations for large Deep Learning Models Neha Suvindran Doctor of Philosophy in Biomedical Engineering (PhD) MELMET: A stable and sustainable Neural Interface (NI