26 algorithms-phd-"St"-"St" Postdoctoral research jobs at University of Sydney in Australia
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responsibilities will be to: conduct high-quality research in intelligent sensing and control for complex project environments develop and implement AI-based algorithms (e.g., GNNs, deep reinforcement learning
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of the algorithms developed in this project. About you The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance
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understanding of non-stationary complex systems through theoretical analysis and numerical simulation develop efficient statistical algorithms for analyzing and inferring dynamical models from multivariate time
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and coatings. You will be given the opportunity to work collaboratively with a motivated team of early career researchers and PhDs on optical low-adhesion coatings. Within the team, you will be given
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, Medicine, or Engineering) demonstrated experience or knowledge of one or more of the following: computational algorithm development working with medical images, in particular CT or cone-beam CT a
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environment with a team of a dozen academics, several postdoctoral researchers, and around 20 PhD students. You will benefit from their collective expertise in physics, geomechanics, geotechnical engineering
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of the project assist with the mentoring of the PhD students that are part of the Laureate program. About you a PhD in creative music practice and music technology, preferably with a research focus on themes
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to these values. We are seeking an excellent candidate for a Postdoctoral Research Associate in 3D Deep Learning for Vision and Lidar position who has: a PhD (or near completion) in a relevant field background
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interdisciplinary research efforts process and analyse functional neuroimaging data (fMRI, EEG, etc.) to extract meaningful insights into brain function. About you a PhD in Neuroscience, Computational Neuroscience
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as required About you PhD or PhD under submission in biomedical engineering, dentistry or relevant field a developing network of academic, industry and professional partners and stakeholders a