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of Computer Science Full Time / Part Time Full Time Position Title: Research Assistant / Research Fellow – 15753-1 College/Department: College of Engineering, Design and Physical Sciences/Department of Computer Science
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the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center for Brain and Health and the ASPIRE Precision Medicine Research Institute at New York
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Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 214241 - Computer Science Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job Summary: The
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home The Department of Computer Science at Brunel where this project will be conducted
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Number: 6325358 2027-29 Transfusion Medicine/Clinical Informatics Fellowship University of California Los Angeles Requisition Number: JPF10179 Due to the recent rapid expansion of electronic health records
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, with 82 full time professors and over 1,800 students. We offer five degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, a Bachelor of Science in Information, and an
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– the University contributes 14.5% of salary. Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
5 Sep 2025 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country
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integration and AI models tailored for fish behaviour, health, and stress signal analysis. Investigate and apply novel machine learning and deep learning techniques for pattern recognition, classification, and