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, providing direct feedback on theory analysis and further predictions. The goal is to develop a theoretical and computational approach that has strong predictive power for finding completely new types
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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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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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rolling basis. Description The Department of Energy (DOE) Science, Technology, and Policy (STP) Program provides an opportunity for students, postgraduates, and faculty to engage in programs, projects, and
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, evidence-based practice, and interdisciplinary collaboration to lead the future of nursing. Our nursing program stands as a leader in healthcare education, earning #1 in the nation for Best Bachelor
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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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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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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team