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interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities may include
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
machine-learning methods to investigate the deep-time controls on copper mineralisation. The role will involve developing reproducible computational workflows, generating predictive maps of copper
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competence in machine learning and/or image analysis/computer vision Foreign completed degrees (master-level) must have completed an university education corresponding to a minimum of four years in
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Solving fundamental problems in ICT that benefit society. Simula’s vision is to be an excellent research
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hazards, enhancing asset protection, maritime security, emergency preparedness, and societal resilience. The project will leverage advanced AI and machine learning techniques to enable predictive risk
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. Additional optional skills and qualifications: Experience in computer vision for intelligent processing of documents. Contracting requirements: Presentation of the academic qualifications and/or diplomas
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or low-cost services offered by CVTC program students, such as computer repair, automotive repair, Shear Inspiration Salon and Spa , aesthetician services and 620 West restaurant and culinary pop ups
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(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental
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industry. Job Title Postdoctoral Fellow – College of Computing Job Description The Data Intelligence Group at UM6P-CC is seeking two postdoctoral fellows in machine learning who will support the group’s
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Graphics Design (2 ) Computer, Information, and Data Sciences (17 ) Earth and Geosciences (21 ) Engineering (29 ) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (51