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Summary Positioned within Ulster University’s School of Computing, this research theme focuses on harnessing artificial intelligence and spectral technologies to strengthen food integrity and
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Qualifications: Ph.D. Post-graduate training in field Understanding of large-scale proteomics data and placing it in a biological context Experience in Bayesian statistics, machine learning/artificial intelligence
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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unified artificial intelligence (AI) model capable of segmenting 3D medical images from standard clinical scans and generating 3D meshes across multiple imaging modalities. The project will also investigate
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gender and sexually diverse communities, and/or people with intersectional identities. Learn more about Community and Belonging at SAIT . We may use artificial intelligence (AI) tools to support parts
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one of the largest general research universities in Europe. A prominent research area at the UvA is Artificial Intelligence. The UvA is part of the AI Technology for People initiative, where it teams up
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• Honors Program • ROTC • Academic Centers and Institutes • Frederick Douglass Institute • Center for Artificial Intelligence and Emerging Technologies • Grant-Funded Programming • TRIO and Act 101 • PA
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PhD Candidate in Exposomics, Machine Learning and Artificial Intelligence Faculty: Faculty of Veterinary Medicine Department: Department Population Health Sciences Hours per week: 36 to 40
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Requisition Id 15510 Overview: Do you have a passion for applying artificial intelligence (AI) methods for accelerating scientific discoveries and an ability to think outside of the box in a
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on creating innovative artificial intelligence algorithms for the trusted visualization of large-scale 3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems