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well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv. The successful
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postdoctoral researcher to contribute to an NIH-funded project focused on developing innovative techniques and hardware for ultrahigh-field magnetic resonance imaging, with an emphasis on ultrahigh-resolution
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 21-Jul-26 Location: East Lansing, Michigan Type: Full-time Categories: Academic/Faculty Engineering Internal Number
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sciences Ethics in health sciences Biological sciences Agricultural sciences Technology Anthropology Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline 31 Aug 2026
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
in neuroengineering, focused on brain-computer interfaces (BCIs), brain function imaging and interpretation, closed-loop neuromodulation, and the translation of neuroengineering innovations
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
in neuroengineering, focused on brain-computer interfaces (BCIs), brain function imaging and interpretation, closed-loop neuromodulation, and the translation of neuroengineering innovations
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. Review of applications ends when the position is filled. For instructions on the Interfolio application process, please visit http://tiny.cc/InterfolioHelp . The University of Chicago is an equal
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transparent reconfigurable metasurfaces.; ; 4. REQUIRED PROFILE: Admission requirements: Master in Electrical and Computer Engineering or similar area The awarding of the fellowship is dependent
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and technology to industry and society. Computer vision is one of the most dynamic areas of artificial intelligence, enabling machines to understand and interpret the visual world. At CVC, we combine
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for the analysis of signals and images of cardiovascular origin with particular attention to supraventricular arrhythmias and risk stratification. Advanced signal and image processing methods such as radiomics will