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on safety, cooperation, and efficiency in human-robot teams. Multi-Modal ML: Expertise in working with diverse data types, such as vision, speech, images, and physiological signals. Experience integrating
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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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of Computer Science & Information Technology (CSIT). The Centre comprises approximately 50 people working on networks, security and systems research. CSIT is a large, research-focused school, participating in many
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days ago
PRCE project HIPOTHEC (« HIgh-order POlyhedral meTHods for Eddy Current testing simulations »), in partnership with the French National Power Company (EDF) Practical aspects: Secured two-year post-doc
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anharmonic DFT calculations of PAHs available in the team You will implement neural networks based on PAH molecular structure to predict their anharmonic spectrum You will test the accuracy of topological
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and
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for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. JOB QUALIFICATIONS: Minimum Education: Ph.D. or equivalent doctorate within
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including research management, communication, networking, writing of manuscripts etc. Mentoring and career development in a network of national and international collaborators Research exchange to
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supports the research on energy security and resilience of the power grid at the Energy Department (DOE) through advancement of modeling, simulation, and real-time monitoring of the power grid, including