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Field
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development in support of MSD research programs • Learn about the underlying technical concepts of assigned programs • Participation in weekly program meetings and periodic sponsor meetings (requiring oral and
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with diverse groups of students, staff, and faculty members. Proficiency in computer software and applications, such as Microsoft Office Suite and other relevant tools. Commitment to continuous learning
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analyzing machine learning experiments; supporting scaled experiments involving neural networks, large language models, and GPU clusters; improving reproducibility, reliability, and usability of research
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. Possible research topics include: Scientific machine learning Numerical partial differential equations (PDEs) Computational fluid dynamics Neural operators High-performance computing Data-driven
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
genetic data Multimodal machine learning for biological discovery Translational genomics and risk modeling The fellow will work in an environment that emphasizes methodological innovation, statistical rigor
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Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
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. Individuals in this position will perform technical work supporting the collaboration's scientific research. Research Title: Data Scientist / Computer Scientist - Standardized AI-Ready Dataset Frameworks for AI
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Research Associate to develop, scale, and apply artificial intelligence (AI) and deep learning (DL) models for power grid systems. The successful candidate will contribute to scalable AI workflows for grid
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of mental health speech transcripts Design and extract text features for modelling ultra-high-risk outcomes Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 2 months ago
of chemical structures, video and photo processing, and sensor development. Many of these labs are starting to move into machine learning and AI computation and are eager to further implement these tools