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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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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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at the post-secondary level is considered an asset. The individual is required to have, or be eligible to receive, a valid Saskatchewan Professional “A” teaching certificate. The successful candidate will teach
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, or behavioral data) and be proficient in Python and modern deep-learning frameworks (ideally PyTorch). Experience in computer vision, multimodal data fusion, self-supervised or generative modeling is highly
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access to top-of-the-line Thermo Astral Zoom and Bruker TimsTOF-ultra mass spectrometers, laser capture microdissection, unique open-flow microfluidic probe systems, the Seer Proteograph deep plasma
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the Faculty of Applied Science & Engineering at the University of Toronto invites applications for a full-time teaching stream position in the area of Artificial Intelligence and Deep Learning. The appointment
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opportunities for growth in the field of clinical research. To learn more about the research program, please visit: https://www.limbnetwork.com/home RESPONSIBILITIES Reporting to Dr. Anthony Cooper
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Biology, Bioinformatics, Statistics, or a closely related discipline, and have an strong record of research productivity. The ideal candidate will have experience in deep learning, generative models
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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