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Field
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applied research on AI-driven and AI-enhanced industrial energy systems optimization modeling, material flow analysis, and supply chain analysis of industrial commodities and critical materials
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scholarship and applied research, developing prototypes and capabilities that strengthen model-based and data-driven approaches. The position values interdisciplinary thinking, particularly where software
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environment. We are driven to connect technology development with meaningful biological insights, aligning with the research and clinical missions of St Jude. Candidates with interest and expertise in
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: The postdoctoral researcher will contribute to ongoing research projects in computational modeling, multiscale simulation, and data-driven design of functional materials for structural applications. The position
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commensurate with abilities and experience Type of Position Other Position Time Status Full-Time Required Education PhD in Engineering Required Related Experience see Skills / Knowledge / Abilities Required
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Computational Neurogenomics / AI - Postdoctoral Associate Yale School of Medicine | Adams Center for Parkinson’s Disease Research | New Haven, USA Join a mission-driven team at Yale to build a
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Experience with deep learning frameworks such as PyTorch or TensorFlow Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving
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Classification Title Postdoctoral Researcher Working Title Postdoctoral Researcher – Political Science and Systems Engineering Brief Position Overview Join an interdisciplinary postdoctoral fellowship at Montana
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chain monitoring and anomaly detection Supply chain optimization and resilience analysis Integrate experimental data with physics-based and data-driven models Conduct laboratory, pilot-scale, and/or
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(SHM), physics-based modeling, and data-driven analytics to enable predictive, performance-based decision-making and improve infrastructure safety, resilience, and lifecycle performance. The candidate is