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describe your theory of change (i.e., where your proposed work logically fits into a realistic chain of events you believe will ultimately lead to impact at a given time in the future). Applicant’s
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. The completion grant should be used to further qualification measures such as courses in teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant
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PhD Research Fellowships: Artificial Intelligence Adoption, Sustainable Finance, and Twin Transition
be placed on the applicant's: Academic and personal qualifications to complete doctoral education within the employment period. Ability to work independently and purposefully, as well as to collaborate
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Department: College of Science Classification: Post Doc 12 month Job Category: Postdoctoral Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk) Location: Fairfax, VA Workplace
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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Department: Mathematics Position supervisor: Dr. Kunquan Lan Contract length: 1 year Hours of work per week: 36.25 Position type: Postdoctoral Fellow term Rate of pay: $35,000 per annum plus
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% - Work collaboratively in developing the standard for the next generation of error correction decoders 65% - Invent new algorithms, develop new theory using non-standard approaches to analyse them, and
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, represent the University and department at conferences and meetings, and may develop new theories and methodologies. This position will also help the Principal Investigator to lead and direct the work
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contribute to the collaborative TQT research community. Principal Investigator: Na Young Kim Project Name: Solid-state analog Optimization Solver and Quantum Machine Learning (Theory) Research Area