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analysis, or assistive technology; Experience in applying AI methods such as machine learning, deep learning, computer vision, multimodal data analysis and large language models (LLM) in health-related
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks Analysis”. The appointee should be prepared
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technologies used to generate, harvest and store clinical data and methods used to create predictive models (including but not limited to methods associated with machine learning). Furthermore, issues related
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Job Title Postdoctoral Research Associate-1 Agency Texas A&M University Department Vet Med Pathobiology Proposed Minimum Salary $4,833.34 monthly Job Location College Station, Texas Job Type Staff
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 20 hours ago
Posting Information Posting Details Department Globl Hlth and Infect Disease - 427801 Posting Open Date 09/24/2026 Application Deadline 10/09/2026 Open Until Filled No Position Type Postdoctoral
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biology, and multi-omics & machine learning approaches. The Research Assistant Professor will manage research projects, and will supervise research projects of interns, undergraduate or graduate students
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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signals, imagery, and natural language, via adaptive machine learning; 2) Personalization of sequential decision making, biophysical digital twins, and the operation of digital and physical systems; and 3
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echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be responsible for the design and testing of original machine-learning based methods for fetal heart