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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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Section, Nuclear Energy and Fuel Cycle Division at ORNL is seeking candidates to apply for the computational nuclear engineer role. This role is responsible for the development and implementation of methods
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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The Wesleyan Media Project (WMP), in collaboration with Wesleyan University’s Hazel Quantitative Analysis Center (QAC) at Wesleyan University, is seeking a postdoctoral researcher in computational
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addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package. The appointment is one year, with the possibility of renewal for a second year (up to two
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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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Deadline 3 Apr 2026 - 17:00 (Europe/London) Country Ireland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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The Data Science and Learning Division (DSL) of the Computing, Environment and Life Sciences Directorate (CELS) and the Materials Science Division (MSD) of the Physical Sciences and Engineering
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spintronic-based computing. The position offers an exciting opportunity to join a cutting-edge research project focusing on the co-design of CMOS and spintronic devices for next-generation energy-efficient and