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amplify therapeutic effects across cancer and neurodegenerative diseases, offering a new paradigm in precision medicine. This approach is based on the deisgn of novel wirelessly controlled micro/nano
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Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Electrical Engineering, or a related technical field. A strong publication record, with first-author papers
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program are advised to directly contact the Research Group(s) of interest as part of the application process. We will use internal recommendations from Group Leaders to help identify candidates of interest
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, chemsitry, materials science, nanotechnology or related fields.. Knowledge and Professional Experience: Hands-on experience in the following areas: Operation of transmission electron microscopes, including
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recognition, automation science, complex systems, robotics, machine learning, computer vision, natural language processing, biometrics, medical imaging, social computing, and AI hardware. CASIA is the first
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models · Collate and store accurate records using paper and computer-based systems and the preparation of data for inclusion in lab books, presentations and publications. Maintain a hardcopy or electronic
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Research Engineer - Tools developer for LSQUANT platform (Theoretical and Computational Nanoscience)
power of the methology on neurmorphic computing applications. Main Tasks and responsibilities: Develop APIs for various codebases within the group. Mantain Docker images to ensure they are up-to-date with