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Field
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, to augment the salary support from a variety of sources, including operating budget, faculty advisor funds such as research grants, other awards, etc. Purpose The University of Toronto Provost’s Postdoctoral
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maintain retrieval-augmented generation (RAG) pipelines and related AI-enabled research workflows to support dataset construction, empirical analysis, and evidence synthesis. Implement rigorous empirical and
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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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security testing techniques. Design, develop and test control augmentation techniques. Adaptation of developed techniques for more generic use. Perform project documentation and technical mentoring
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reproduction setups, and augmented and virtual reality systems. What's in it for you? Competitive salary - and excellent pension scheme An impressive 32 days leave - plus bank holidays, additional time off
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 14 hours ago
performance of research at the University and augment the role of graduate faculty in providing research instruction to graduate students. A Postdoctoral Fellow works under the supervision of a regular faculty
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measurements and in the underlying physical models. Machine learning (ML) techniques can be exploited to identify common patterns in the data and augment the physical laws of wave propagation, leading in turn
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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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augmentation, manipulation and dexterous manipulators, telepresence and teleoperation, industrial automation and robotics, active perception and learning, inspection robotics, hyper-redundant robots, robot
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NLP, retrieval-augmented generation, instruction tuning) and multimodal transformers. Solid understanding of causal methods (e.g., propensity scores, IPW, matching) and/or causal discovery. Familiarity