2,089 parallel-computing-numerical-methods-"Simons-Foundation" positions at Duke University
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skills. Preferred Qualifications: Prior research experience in computational biology, mathematical modeling, or immunology. Familiarity with numerical methods, parameter estimation, and data visualization
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the creation of analytical reports to achieve client, program, and business objectives for resource optimization. Work closely with internal technology teams and vendors to deliver tools and system solutions
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Duke University, Program in Education Position ID: Duke-Education-ADJIN1 [#31424] Position Title: Position Type: Non-regular rank faculty Position Location: Durham, North Carolina 27708
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deep learning frameworks (e.g., PyTorch, TensorFlow, and JAX). • Experience in PDE/ODE modeling and numerical methods. • Strong interest in interpretable ML and mechanistic model discovery. Submit a
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Occupational Summary Plan, coordinate and participate in the establishment and operation of a specialized program and/or activity at Duke University, planning methods and developing systems in
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duplicates of ECG tracings and physician reports; interface with computer and ECG database to locate and retrieve lost information. Retrieve and refile ECGs/folders. Perform routine equipment checks, makes
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, competency validation and meet ongoing learning needs, planning, formal training methods and on-the-job instruction techniques. Works as part of a system, entity, and work unit to develop and deliver education
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for an average of 50 patients/day. This area has an advanced GI program. Our team is active in delivering exemplary care for each patient to ensure an excellent patient experience, every time. Work Hours & Shifts
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within assigned locations to facilitate orientation, competency validation and meet ongoing learning needs, planning, formal training methods and on-the-job instruction techniques. Works as part of a
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). Experience in interdisciplinary team-based research. Preferred Qualifications: Prior research experience in computational biology, applied mathematics, or quantitative biology. Familiarity with numerical