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institutional effort to recover and reanimate McKeon’s distinctive approach to teaching, inquiry, and philosophical pluralism. The successful candidate will also design and teach two undergraduate courses per
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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-preserving and data-driven reduced order modeling scientific machine learning In addition to research, the postdoctoral researcher will engage in mentoring and outreach activities and will be expected to teach
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opportunity to contribute to cutting-edge research at the intersection of artificial intelligence, machine learning, and healthcare. The successful candidate will develop and apply advanced machine learning
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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Requisition Id 15358 Overview: Oak Ridge National Laboratory (ORNL) is seeking an ambitious postdoctoral scientist with keen interest in artificial intelligence (AI) / machine learning (ML) and
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, curriculum vitae, and contact information for three references. We ask applicants for all faculty positions to share their approach to fostering learning, research, service, and outreach in a diverse
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)-statistics, (applied) mathematics, or a related STEM field. Prior working experience with EHR data, machine learning, NLP, bioinformatics, and large language models (LLM) is preferred. In particular
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to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Post Doctoral Associate - Improving Subseasonal Precipitation Forecasts with Machine Learning The University
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics