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projects and technical leadership. Basic Qualifications: Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related technical field. Proven experience in
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-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and responsibilities
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dedicated to discovering and refining the core mechanisms that will enable machines to learn continuously, make robust decisions in complex environments, and evolve autonomously. Key research directions
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also pursues five key scientific research directions: brain-computer interfaces and intelligent systems; brain decoding and primate models; medical devices and medical equipment; intelligent medicine and
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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)
Personal Competences: Demonstrated competitive ability in using DFT simulations, and machine learning techniques and DFT. Demonstrated strong coding skills and a passion for UX/UI design. Summary