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Post Doc Associate & Post Doc Fellow, Artificial Intelligence, Technology, & Precision Nutrition & Health Cornell University is seeking applications for two postdoctoral positions: a Joan Klein
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Prof. Andy Cooper FRS, and Dr Gabriella Pizzuto
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and/or conference presentations: Participation in publications and/or conference presentations will be considered an asset. • Computer skills: Operating systems, ImageJ, GraphPad, databases, Artificial
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. CyberHub invites applications for a Research Assistant who will primarily contribute to the both projects. The successful applicant will be ideally educated in Computer Science, Artificial Intelligence
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academic development and offers legal and investment support. Responsibilities: 1)Teach courses related to artificial intelligence and machine learning, 2)Contribute to curricular and programmatic
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). The Faculty’s strategic research themes include Clinical Artificial Intelligence, Craniofacial Regeneration, Microbiome Innovation, Oral Cancer, and Population Oral Health. The Faculty also plays an important
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. Demonstrated experience in either of the following areas (a) data science, (b) theoretical nuclear reaction models and/or (c) deep learning-based machine learning and applications of artificial intelligence
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candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative
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: Microbiome; Bacteria; Microbiology; Metabolites; Nuclear Magnetic Resonance, Mass-spectrometry, Chemometrics; Multivariate statistics; Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL
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find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum