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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 08-Nov-25 Location: Irvine, California Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff
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5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness or other life-changing events. Brookhaven
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thermochemical reactor process for heat storage, characterizing its behaviour and thermal performance. Post-doc Objectives: A prototype, representative in scale of the final system (several kW and several kWh
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. About the research project As a post-doc in this project you will work on application of x-ray imaging towards thermoplastic lignocellulose based materials and be associated to the competence centre FibRe
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
researcher with a background in machine learning and/or biomedical image processing. The ACM Lab is developing software to support AI-driven techniques to rapidly diagnose, track, and treat neurodisorders
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large animal models, lymphatic research, and MRI. The scholar will be supported by MR technologists (MRI studies), plastic surgeons (lymphatic surgery), radiologists (MRI studies and imaging evaluation
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measures that could mitigate the negative effects. To achieve this goal, we are looking for you, a highly motivated Post-doctoral fellow (f/m/d) “Systems neuroscience and neuroimaging” The Post-Doc position
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neuroscience and neuroimaging” The Post-Doc position, with a salary of TV-L E13 in full time (40 hours/week) is available as part of a collaborative project limited until December 31, 2030. The earliest possible
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post, would exceed 6 years, you should not apply and should refer to Research Fellow posts instead. Prior to application, further information (including application procedure) should be obtained from
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is