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We are inviting applications for a full-time postdoctoral scholar with a strong computational background and interest in leading the development of clinical deep learning and other machine learning
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for high-dimensional survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis.
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HAI Postdoctoral Fellow: Cognitively-Inspired AI for Grounded Abstraction Learning, Professor Judith Fan We are seeking a postdoctoral researcher who will be housed in the Cognitive Tools Lab in
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the analysis of large and complex population-based datasets, using techniques from natural language processing, machine learning, and deep learning. Dr. Tamang is committed to recruiting and mentoring
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We are seeking a postdoctoral researcher with a focus on developing statistical, machine learning, and causal inferential methods with applications in health care. The postdoc will collaborate
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understanding of current AI techniques and approaches including supervised and unsupervised machine learning, symbolic AI, and generative AI (including large language models) [technical understanding of one
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, genetics, bioinformatics, machine learning, and artificial intelligence, offering varied avenues for mentoring and professional development. Multiple opportunities exist for national collaboration in a
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ranging from crypto coin mining, and machine learning to scientific simulations: Natural Language Processing in major online platforms; Machine Learning for high end scientific applications such as
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Medicine at Stanford University. The Ramakrishna laboratory focuses on optimizing chimeric antigen receptor (CAR) T cell therapies for children with cancer by learning about the biology of these CAR T cells
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management skills (we prefer experience in R) and a strong background in statistical analysis, economics, and/or and machine learning. Ideally, this candidate will be proficient in causal inference and