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electroluminescence and photoluminescence imaging, preferably daylight and field-based methods. Proven skills in data analysis, image processing and machine learning. Experience with PV performance modelling, power
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 hour ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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science, and computational imaging. • Access to state-of-the-art HSI and spectroscopic instrumentation (HySpex VNIR/SWIR systems, Macro-XRF, Raman, FTIR, etc.). • Active participation in international in
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Job Title Postdoctoral Research Associate - Kirchner Lab Agency Texas A&M University Health Science Center Department Medical Physiology Proposed Minimum Salary Commensurate Job Location Bryan
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24 Nov 2025 Job Information Organisation/Company Gulbenkian Institute for Molecular Medicine Research Field Medical sciences » Health sciences Researcher Profile Recognised Researcher (R2) Positions
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, including full access to various supercomputers and massive data storage systems (see here for further details https://uits.iu.edu/services/technology-for-research/high-performance-computing-and-storage
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engineering, computer engineering and applied physics, with a solid academic background in biomedical imaging and AI and an excellent research track record. Candidates should demonstrate a strong academic track
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Computing Science seeks a postdoctoral researcher in
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departments: Cardiovascular Imaging, Cancer Imaging, Early Life Imaging, Imaging Chemistry & Biology, Biomedical Computing, Surgical & Interventional Engineering, Imaging Physics & Engineering and Digital Twins
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favourable working conditions? We welcome you to apply for a postdoctoral research position in Computerized Image Processing for data-driven precision medicine at the Department of Information Technology