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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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population-based research and statistical modeling. Strong publication record and scientific writing skills. Proficiency in statistical software (e.g., R, SAS). Ability to work independently and
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. · Experience in population-based research and statistical modeling. · Strong publication record and scientific writing skills. · Proficiency in statistical software (e.g., R, SAS
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Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area Academic Affairs Department 00055 - Chemical Engineering Location Campus City Salt Lake City, UT Type
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engineering to develop cutting-edge AI technologies for patient care. One critical area in need of advancement is the integration of radiology images (such as MRI and CT scans) with pathology images, which