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The expected pay for this position is $70,000 per year + benefits. AI and Deep Learning for Genomics, Transcriptomics, and Bioinformatics Job Summary The School of Biomedical Engineering at the University
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: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
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Department of Computer Science and the Data Science Institute. Learn more about the lab and its research here: https://nunez-comp-mental-health-cancer-care.github.io/ . RESPONSIBILITIES Reporting to Dr. John
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experimental design. Proficiency with machine vision and deep learning techniques, including image segmentation, landmark placement and metric learning, for the automation of phenotypic analysis of large image
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university, Waterloo combines multi-disciplinary research, deep connections with industry, unique creator-owned IP policy and robust commercialization support to turn discoveries into real-world solutions
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Beginning of the main content section. Printable Format Job 1 out of 44 Previous | 1 2 3 4 5 | Next Job Description - Early Learning and Child Care Consultant (CON003022) Early Learning and
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, sciences, and professional fields. The successful candidate will benefit from a robust, existing Inter-Faculty bridge between the Department of Equity, Ethics, and Policy (DEEP) and the Department
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 22 hours ago
to accelerate research excellence, translation and partnership. Positions are supported by $100,000 per year for six years. Learn more: https://dal.peopleadmin.ca/postings/20088
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with deep expertise for the position of Assistant Vice-President, Innovation, Partnerships and Entrepreneurship (AVP-IPE). The AVP-IPE will join a talented and highly integrated team within the Research
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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