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deep learning, causal AI, large language models (LLMs), with a record of applying these methods to disease diagnosis and treatment in areas such as cancer, Alzheimer’s disease and related dementias
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Classification Title: Assistant/Associate/Full Professor Classification Minimum Requirements: a Ph.D. in computer science or related field Expertise in AI/ML, deep learning Expert proficiency in
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. Candidate should have strong written and verbal communication skills. Candidates may not have deep pesticide knowledge, but a willingness and desire to learn. Creative communication skills and an ability
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and Model Input Generation – - Use deep learning and statistical approaches to extract meaningful features from tissue images and molecular assays. - Generate structured representations suitable
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field and three years of experience. Preferred: Experience building and maintaining ML/AI pipelines for multimodal biomedical data Proficiency in Python and deep learning frameworks such as PyTorch
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Information Technology (UFIT) enables teaching, learning, research, and service on campus and across the region with state-of-the-art enterprise IT systems, including SEC and SUS universities, and the opportunity to teach
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, computer science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM field. Prior working experience with EHR data, machine learning, deep learning
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for Learning’s mission is to improve the quality of teaching, learning, and childcare. We research, develop, and scale educational innovations for adults and children that put all learners on trajectories
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learning and deep learning methods to analyze multi-omics data (genetic, epigenetic, transcriptomic, imaging, single-cell genomics and spatial omics data) with the goal of understanding the underlying
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developer and will be expected either to bring or to develop a deep understanding of the Salesforce architecture in order to understand and produce code that aligns with the platform and how our specific