198 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs in United States
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of Biostatistics at University of Florida and Dr. Hongkai Ji (remote) in the Department of Biostatistics at John Hopkins University. This position, available immediately, focuses on developing statistical, machine
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appointment involves developing instrumental methods for enhancing proteins, especially plant proteins, functionalities and application in food products. Experience and willingness to learn Proteomics and/or
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Required Certificates/Credentials/Licenses NA Computer Skills General office suite and willingness to learn lab specific programs Supervisory Responsibilities No Required operation of university owned
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Required Qualifications M.D. or PhD Required Certificates/Credentials/Licenses NA Computer Skills General office suite and willingness to learn lab specific programs Supervisory Responsibilities No Required
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for partial differential equations (PDEs) structure-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring
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at the University of Utah invites applications for one a 1-year post-doctoral researcher for interdisciplinary work spanning machine learning, applied mathematics, computer science, and material sciences, with a
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at the University of Utah invites applications for one a 1-year post-doctoral researcher for interdisciplinary work spanning machine learning, applied mathematics, computer science, and material sciences, with a
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, emergency care, psychological health) to fulfill the needs of the U.S. military and our Colorado communities, including solutions for primary prevention and mental health promotion. The Center facilitates the
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. Implement and optimize data representations and pipelines suitable for machine learning and uncertainty quantification. Collaborate with AI/ML experts to design and test inference methods that map
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
be predicted using machine learning based on drug-specific information, patient demographics, and clinical trial data. 2. Modeling for Regulatory Science – Leveraging drug development and regulatory