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Requisition Id 16093 Overview: Oak Ridge National Lab is seeking a Postdoctoral Research Associate to advance quantitative, high‑throughput neutron imaging for next‑generation energy‑storage
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Duke University, Electrical and Computer Engineering Position ID: Duke-Electrical and Computer Engineering-POSTDOC_CRICHMOND [#31795] Position Title: Position Type: Postdoctoral Position Location
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parts and create engineering drawings for prototype machining/manufacturing or modification. Use MATLAB to make models and simulations, analyze and prepare data for presentation. Knowledge and
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Postdoctoral Associate- Medical Imaging Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Physics or Engineering, e.g. Medical Physics
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Postdoctoral Associate- Medical Imaging Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Physics or Engineering, e.g. Medical Physics
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 29 days ago
on the WEST tokamak at CEA/IRFM in France. Activities would include participation in the design, assembly, testing, installation, calibration and operation of a high-resolution imaging crystal spectrometer
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Biomedical Engineering, Electrical Engineering, or a related fieldStrong background in MR physics Proficiency in computer programming Excellent written and oral communication skills Demonstrated ability
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on the WEST tokamak at CEA/IRFM in France. Activities would include participation in the design, assembly, testing, installation, calibration and operation of a high-resolution imaging crystal spectrometer
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advanced spatial biology techniques, such as spatial transcriptomics, proteomics, and multiplexed imaging, to analyze brain tissue. Lead data analysis and interpretation, integrating multi-omic and imaging
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soils, with applications in permafrost engineering, cold-regions geotechnics, and climate-driven ground processes. The postdoctoral scholar will lead applied modeling and data-constrained analyses using