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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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networks. You should have experience of building machine learning models for environmental applications. A high level of data science and computational expertise is essential, as is experience with Bayesian
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requirements, this position will require full-time physical presence at the at the NRC work location identified. The program The NRC’s Postdoctoral Fellowship program offers PDFs access to unique world-class
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for this job See advertisement About the position Inland School of Business and Social Sciences , The PhD programme Innovation in Services in the Public and Private Sectors (INSEPP ), invites candidates to apply
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one from your current graduate or clinical residency training program. Graduate-level academic transcripts (unofficial is acceptable) Two writing samples, preferably a copy of a previously published
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computer vision algorithms to detect clinical interventions performed by nurses and situations of agitation and risk of falling. Volume of data available for the project: Video capture in a hospital
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York Times has called “the most ambitious campus design program in the country." UC's momentum has never been stronger as the anchor of the Cincinnati Innovation District, the oldest cooperative
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- 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage , paid leave, and benefits and services
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The appointed researcher is expected to pursue an independent research programme on methodological innovation in applying AI to qualitative social scientific research, typically in collaboration with existing