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, epidemiologists, clinicians and lab researchers, with expertise in the field of prediction modeling, longitudinal data analysis, statistics, data science, machine learning, AI, organoid models and cystic fibrosis
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learning models, work closely with the team to analyze and cluster data for evaluation of risk for developing retinopathy of prematurity. Special Instructions to Applicants: In order to be considered, you
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updates and technical insights to the supervisor regarding progress in AI model development. Stay abreast of the latest advancements in natural language processing, large language models, and machine
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Koziarski Lab - The Hospital for Sick Children | Central Toronto Roselawn, Ontario | Canada | about 1 month ago
program at The Hospital for Sick Children, University of Toronto, and the Vector Institute. Our research group focuses on developing machine learning-based pipelines that leverage generative models and
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generation methodologies to improve the robustness of Machine Learning (ML) models. Your role: Semantic segmentation and classification by ML: Explore and benchmark state-of-the-art semantic segmentation and
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project aims to develop, model
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Associate selected for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins
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and disease, through accurate machine learning models. Current areas of interest include developing deep learning approaches for genome interpretation; development of methods for multi-omic and
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specializing in: Computer Science Cybersecurity Cloud Computing Software Engineering Information Technologies Artificial Intelligence and Machine Learning Job Duties & Responsibilities Conduct high-impact
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. Applicants should have a track record of experience in machine learning, statistics and data science and will lead on developing models for precision medicine, genotype-phenotype association, and advanced