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National Energy Technology Laboratory (NETL) | Albany, New York | United States | about 23 hours ago
. Proficiency in machine learning, digital twin technology. Previous peer-reviewed publications. Programming skills. Ability to conduct independent research in a multi-disciplinary team. Point of Contact Cinnamon
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for predictive modeling, high-dimensional optimization, uncertainty quantification, forward and inverse design, including the development of Digital Twin components, under the supervision of Prof. Douglas H
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to advance research and outreach objectives. Proficiency in the use of artificial intelligence (AI) and emerging digital tools to support research output while maintaining accuracy, ethics, and research
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, digital twin, surrogate and reduced-order models and machine learning tools for part qualification and quantification of distortion, residual stress, microstructure and fatigue. Effective interpersonal
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, neuroinflammation, tau and α-synuclein pathobiology, digital pathology/AI image analysis, and mouse models of neurodegeneration. Education: A recent Ph.D. (less than 2 years of postdoctoral experience is strongly
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transcriptomics, methylation, proteomics, metabolomics, or digital pathology data. Experience with clinical trial datasets, electronic health record data, cancer registry data, or other real-world clinical datasets
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Postdoctoral Research Associate. The successful candidate will contribute to research projects focused on advancing automation, artificial intelligence, robotics, sensing, data analytics, and digital
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, software applications, data pipelines, and digital platforms that support research, education, training, and community-focused initiatives Experience with programming languages, machine learning frameworks
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genomics, multi-omics, and artificial intelligence to predict and prevent disease trajectories through precision medicines tailored to the right patient at the right time. Our vision is to create digital
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, software applications, data pipelines, and digital platforms that support research, education, training, and community-focused initiatives Experience with programming languages, machine learning frameworks