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multi-omics data integration and the project will provide opportunities to learn, develop, and apply machine learning and deep learning methods on genomics data. Requirements: excellent university and PhD
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of statistics, bioinformatics, and/or machine learning approaches are desirable but not required. This is a permanent position within the Nature Portfolio. The successful applicant will primarily support Nature
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. Biomedical data science that combines methodology and implementation, in areas such as statistical modeling, natural language processing, bioimaging analytics, and machine learning/artificial intelligence
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candidate will be appointed to a full-time tenured position at the rank of Associate or Full Professor within the Faculty of Engineering. In addition to leading a world-class research program, they will teach
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(AI/Machine Learning (ML) expert for an academic investigational position. The Department of Data Science at the Dana-Farber Cancer Institute (DFCI) and the Department of Medical Oncology seek
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Canada Excellence Research Chair in Sustainable Agriculture for Grape and Wine Professor or Associat
University Brock University is committed to building inclusivity and equity through understanding and respect for diverse identities. These commitments are reflected in our approaches to teaching and learning
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managing large amounts of data by designing structured databases (PostgreSQL, MySQL). Machine learning methods such deep learning for analysis of proteomics data and classification of cancer profiles. Since
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sciences. Areas of interest include but are not limited to: AI-driven drug discovery and development, quantitative systems pharmacology, large language models for education and clinical support, machine
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results relevant for immuno-oncology and cancer immunotherapy. Eventually these analyses pipelines will drive creation of new immune landscape scoring metrices via state-of-the-art machine learning
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Context and Motivation Bilevel optimization problems, in which one optimization problem is nested within another, arise in a wide range of machine learning settings. Typical examples include