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Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Posting Details (Default Section) Posting Number: 20260033F Position Title
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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for high-performance infrared photodetectors and imaging systems. We invite applications for two postdoctoral positions focused on next-generation SWIR and room-temperature MWIR photodetectors based on III–V
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PbS materials for high-performance infrared photodetectors and imaging systems. We invite applications for two postdoctoral positions focused on next-generation SWIR and room-temperature MWIR
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, with part of your time spent on-site at Model Health (Leuven, Belgium) for the development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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paradigm shift is emerging – data interaction – in which data remains in its source systems but becomes available in real time, contextually, and on demand to authorised users and applications. This Postdoc
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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development of the video-based prototype. You will work closely with Model Health and Moveshelf, embedded in the multidisciplinary "Care is coming home!" program, a 5-year consortium of 2 technical universities
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 26 days ago
novel paradigm integrating Agentic AI, applied energy solvers, digital twins, and control automation to redefine scientific discovery and address key capability gaps at NETL. As a faculty research