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training algorithms and AI architecture. Image reconstruction, segmentation, and classification. High performance computing for spatiotemporal data. Major Duties/Responsibilities: Develop foundation AI
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: 277344492 Position: Postdoctoral Research Associate Description: The group of Prof. Aditya Sood in the Department of Mechanical and Aerospace Engineering and the Princeton Materials Institute at Princeton
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Prof. Yuan Cao, and focus on utilizing cross-disciplinary techniques to study fundamental properties and potential applications of 2D materials. To learn more about the lab, please visit https
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machine learning algorithms for various research projects creating medical image automation algorithms writing combat casualty care relevant military research proposals preparing manuscripts for submission
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control
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on using unstructured and overset meshes with high-fidelity algorithms to obtain scale-resolved data. Candidate will also post-process data using data-driven and physics-driven methods to extract fundamental
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are currently accepting applications for a Postdoctoral Associate position in these research areas. The successful candidate will report to Prof. Hao Wang and Prof. Nenad Gucunski at CAIT and will work
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-controlled devices, etc.). The primary function of this position is to conduct research regarding the molecular architecture of the HIV virus in the group of Prof. Juan R. Perilla (http
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deliverables such as datasets, software, scholarly publications and public-facing contributions. The position will be housed in the research group of Prof. Nathan Schneider under the Departments
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deliverables such as datasets, software, scholarly publications and public-facing contributions. The position will be housed in the research group of Prof. Nathan Schneider under the Departments