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theory, and/or (ii) an application focus in radio astronomy or magnetic resonance imaging, including both simulation and real data processing expertise. Competence in specific algorithmic approaches
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information, education, experience, publication list and skills. 3) Statement of Purpose (3 pages maximum): A detailed description of research and educational background, research interests and intentions and
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- School of English - Faculty of Dentistry - Department of Civil Engineering - School of Computing and Data Science - Department of Electrical and Electronic Engineering - Department of Mechanical
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neurobiology; have previous experience with optical imaging of neuronal activity or mouse stereotactic surgery or in vivo electrophysiology or advanced data analysis; are fluent in English. We offer
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: Durham, North Carolina 27708, United States of America [map ] Subject Area: Engineering / Electrical and Computer Engineering Appl Deadline: (posted 2025/08/04, listed until 2025/08/15) Position
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
for detection, auto-correlation, and depth retrieval; validating signal reflection models through analysis of radar data; and evaluating the performance and limitations of passive sounding in realistic mission
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: Reference Number 10580 The Department Geoinformation is combining research data management, information management and IT with research in data science. Towards this goal, a Section 5.4 Data Science is
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conditions, and brain tissue microstructure and functioning. The successful candidate will be working within a multi-disciplinary team of MRI physicists, computer scientists, radiologists, neuroscientists, and
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, and implementation of these advanced materials. Information and application To apply, please submit your application before September 30, 2025, via the "Apply now" button. Your application must include
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on post-training methods for these low-resourced languages, for example, by investigating the role of synthetic data, among other data augmentation techniques, and the role of in-context learning in