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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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-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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and collaborative discussions. Ensure compliance with IRB protocols and data security standards. Minimum Qualifications · PhD in Epidemiology, Nutrition, Public Health or related field
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proposal development, with direct mentorship and collaboration opportunities across multiple surgical and critical care disciplines. Minimum Qualifications PhD (or equivalent) in Biomedical Sciences
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and collaborative discussions. Ensure compliance with IRB protocols and data security standards. Minimum Qualifications PhD in Epidemiology, Nutrition, Public Health or related field. Experience in
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mentorship for a pathway to independence and opportunities for career advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise
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advancement. The ideal candidate will have a PhD in computer science or related field utilizing computer science methods, strong expertise in medical image processing, registration and analysis and a long-term
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will develop and apply cutting-edge methods in predictive and causal modeling for age-related macular degeneration (AMD), a primary cause of irreversible vision loss worldwide. This work will involve
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cognition from individuals with stroke using a variety of remote monitoring methods. These data will be used to understand complex relationships between these functional domains. Additionally, the remotely