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Computer Science, Biomedical Engineering, Bioinformatics, or a related field. Required: Strong understanding of machine learning (ML) and deep learning (DL) methods, with hands-on experience in model development and
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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learning and data augmentation for soil and biomass carbon forecasts; developing a computational framework for data production in cooperation with Research Software Engineers; collaborating and coordinating
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, including Computer Science, Electrical and Computer Engineering and Music and will be expected to participate in the preparation of research proposals and scientific publications. The candidate will also be
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 19 days ago
Posting Information Posting Details Department Envir Sciences and Engineering - 463001 Posting Open Date 07/21/2025 Application Deadline 08/12/2025 Open Until Filled No Position Type Postdoctoral
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Posting Information Posting Details Department Envir Sciences and Engineering - 463001 Posting Open Date 07/21/2025 Application Deadline 08/31/2025 Open Until Filled No Position Type Postdoctoral
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also conduct research with existing commercial medical robots to further improve the technology. We are part of the TechMed Centre , and have an extensive network of clinical institutions with whom we
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or fellowship Delivering lectures or seminars, which will be compensated at the end of each semester Attend 3 professional development workshops or training sessions per year Participate in at least 2 networking
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Job Description We are seeking three highly motivated and talented Postdoctoral Researchers to join our team and contribute to our cutting-edge activities within photonic quantum computing. The open
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of solving real African agriculture challenges leveraging up to date science and technology. Oriented towards Africa, CAES acts in connection with a wide network of universities and research centers