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UK’s leading research-intensive Universities? Learning does not just shape what we remember, it reshapes how we perceive, altering the earliest stages of sensory processing. We are recruiting a
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your career in one of the UK’s leading research-intensive Universities? Learning does not just shape what we remember, it reshapes how we perceive, altering the earliest stages of sensory processing. We
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role will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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successful candidate will contribute to and lead research in the following areas related to our current and past projects https://gxrlab.rf.gd/research/ : Intelligent Motor Skill Learning: Developing AI
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range of clinical practice teaching and simulation. There will be opportunities to support the design and development of teaching, simulation and e-learning resources. The role is designed to provide
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17% super World-class cybersecurity research environment / Focus on data privacy, ML security, LLM safety / Collaborative mentoring culture Apply now to shape secure, privacy-preserving AI systems
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evolution. Publish high-quality research, present findings at leading conferences, and contribute to collaborative project reports and deliverables. Supervise and mentor students and junior researchers
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Simon Fraser University | Burnaby (Cascade-Schou / Douglas-Gilpin), British Columbia | Canada | about 2 hours ago
POSTDOCTORAL FELLOW POSITION: Hybrid Scientific Machine Learning and Numerical Weather Prediction (Canadian Arctic) Department of Mathematics | Simon Fraser University (SFU) | Metro Vancouver, BC
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and maintain collaborative relationships with internal and external partners, build research networks, and coordinate shared projects. Operations & Development (10%): Manage research resources/labs
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, fabrication materials and orbital environments. Using a small number of representative test cases, we will trial Machine Learning-based predictive methods to estimate material condition and indicative