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equity, with the goal of using advanced quantitative methods to identify how housing policy can be used to address health disparities. Under direction of the PIs, the postdoc will lead data management and
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documentation. The role emphasizes methodical validation, standards-aligned documentation, and advancing the underlying science of assay behavior and measurement fidelity, translating bench-top prototypes
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; factors contributing to differential heat/pollution effects across population with varying characteristics vulnerabilities; and use of causal inference methods to estimate health effects of hypothetical
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Requisition Id 15421 Overview: The Multiscale Methods and Dynamics (MMD) Group at Oak Ridge National Laboratory (ORNL) is seeking several qualified applicants for postdoctoral positions related
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
$61,000-$65,000 Proposed Start Date 02/02/2026 Estimated Duration of Appointment 24 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public
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integration. Strong communication skills and a collaborative mindset. Knowledge, Skills, and Abilities Solid knowledge of power-system analytical methods (power flow, economic dispatch, state estimation
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into the same devices. The research project is part of a larger consortium, gathering world-class researchers in remote sensing with expertise ranging from estimation and optimization theory to hardware design
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with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation Implementing machine learning approaches that preserve physical constraints while handling
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. High throughput and precise phenotyping and genotyping, innovative quantitative genetic, genomic and biotechnological methods for making crosses and selections, evaluating trait performance, advancing
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SUSMAT-RC - Postdoc Position in Computer-Aided Design and Discovery of Sustainable Polymer Materials
based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models to design and optimize the properties of materials. Conduct