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interactions between soil microbes and crops. The overall aim of the project is to characterize novel signalling processes that enable plant root endosymbiosis. The role: Working as part of a team led by Prof
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an original theoretical approach to synthetic quantum materials, in fruitful interaction with experimental research. Duties • Conduct world‑class theoretical research at the international level, in
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, crystallographic and biological processes in the formation of minerals and rocks. Interactions at different geological and biological interfaces are investigated. At these interfaces, mass transfer processes
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PhD with an interest in computational social science or data science (broadly defined). This individual will help design, execute, and analyze a series of field experiments on a platform created by the
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health interfaces, helping to improve user engagement, health outcomes, and system efficiency. Artificial intelligence (AI) will be investigated as both a tool to assess the quality of user interface and
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Human Computer Interaction (HCI) and AI / Robotics. The PhD student will work on a PhD project with the title “Towards Privacy-Compliant and Trustworthy AI-Powered Social Robots”. The aim of the project
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profile to lead the development of natural interfaces based on extended reality and who can design subjective evaluation experiments (methodology, design, execution, analysis, and report). Buscamos
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-based transfer learning classification model for two-class motor imagery brain-computer interface. International Journal of Neural Systems (IJNS). https://doi.org/10.1142/S0129065719500254 * Kudithipudi
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collaborative environment with projects and interactions spanning multiple labs within the group, across NIST and externally. Candidates should have a PhD in physics, electrical engineering, mechanical
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to multiple Bruker mass spectrometry platforms and regular interaction with Bruker proteomics experts and R&D teams. You will therefore gain experience at the interface of academia and industry-driven