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modeling; pharmacogenomics; health informatics; data science, machine learning, or deep learning; causal inference methods Strong written and oral communication skills, with at least one first-author
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 1 month ago
General Summary of the Position Postdoctoral positions in Deep-Learning Omics are available in the Zhou Lab (https://profiles.umassmed.edu/display/20062865 ). The Zhou Lab at UMass Chan Medical
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expected to learn basic R or python to generate plots and analyze data. Qualifications Requirements for employment are: You have deep knowledge of immunology including autoimmunity You have experience
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and deploy advanced deep learning and foundation models for surgical scene understanding segmentation, tracking, and operator assistance. You will write, test, and optimise Python and C++ code for real
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. Postdoctoral Associate - Multi-agentic Coordination, Self-learning and AI Safety in Health Be You. The Department of Surgery at Duke University Medical Center seeks a Postdoctoral Fellow to lead research in
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the field of frugal or green AI TECHNICAL SPHERE You have a proven experience in frugal, green or low-resource AI Strong grasp of deep learning architectures (CNN, RNN, Transformers, LLMs). Experience in fine
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | 2 months ago
The Wolfe laboratory will be filling a postdoctoral position to develop therapeutic genome editing reagents for muscular dystrophies and cancer. These projects will focus on: 1) The development
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etc; Candidates with multidisciplinary backgrounds are welcome. · Strong skills in computational and data analytical methodology development and implementation; experience in machine learning and deep
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Number: 6844943 POSTDOCTORAL SCHOLAR - NUMATA CENTER FOR BUDDHIST STUDIES Position overview Position title: UC Berkeley Postdoctoral Fellow in Buddhist Studies Salary range: The UC postdoc/academic salary
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, unsupervised, and deep learning. Proficiency in appropriate model selection; simpler or complex models, depending on the data. Ability to work effectively within diverse, multidisciplinary teams of faculty