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of at least one would be essential: • Mxenes containing magnetic nuclei. • Metal organic framework derived carbon supported magnetic nanoparticles. • Large unit cell magnetic
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design of regulatory DNA elements and expression constructs. The researcher will work closely with a PhD candidate recruited to the same scientific activity and with national and international partners in
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with expertise in experimental neuroscience, behavioral studies, and data analysis. The position is linked to a research project investigating how humans acquire new motor and cognitive skills and how
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
functionality. Activities include experimental design and execution, project evaluation, data analysis, student training, and education. In addition, this position is responsible for the strategic development
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
functionality. Activities include experimental design and execution, project evaluation, data analysis, student training, and education. In addition, this position is responsible for the strategic development
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We are seeking to appoint a research assistant who will undertake research towards a PhD degree in Mechanical Engineering. The project objectives are to develop models for the design and analysis
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the future of MCH cannot be overstated, as it helps potential candidates feel valued and an integral member of the organization. A key component of this role is overseeing the design, development, and
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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space. Our group focuses on applied research into the functionality of emerging and already ubiquitous technologies at all constituent logical layers, from component-level aspects through system and
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for the processing, analysis and interpretation of large volumes of scientific data, as well as to the integration of artificial intelligence-based tools into highly technologically complex research environments