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intelligence techniques to effectively detect phishing websites. By leveraging these advanced methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms
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Skip to main content Search Menu Norwegian version Job openings PhD fellowship in analogue quantum computing Location Oslo Apply by 6 November 2026 Position Fixed Term / Fulltime Apply for this job
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- Custom Computing Performance Benchmarking Job description About the job: Play a key role within QUB's strategic Centre for Secure Information Technology (CSIT) and engage in challenging research projects
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STFP Home sign in | focus RAP opportunity at National Institute of Standards and Technology NIST Neuromorphic Computing and Artificial Intelligence Hardware Location Physical Measurement
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computing. In the UK's 2014 independent research exercise, we were rated top in Scotland for research impact. PhD: 3-4 years full-time; 6-8 years part-time; Thesis of Max 80,000 words MSc (Research): 1-2
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scientific computing, control theory, data science, data driven methods, discrete mathematics, discretization methods, graph algorithms, high-performance computing, integral equations and nonlocal models
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for reproducible, efficient and scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing
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For candidates For employers For members AcademicTransfer Sign in Sign up en English (EN) Nederlands (NL) All jobs PhD Position in Formal Methods for Concurrent Cryptographic Protocols The goal of
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 6 hours ago
) for a collaborative project with a starting date of April 1, 2020. The candidate will be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and
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. The overall aim of the project is to investigate active inference as a principled framework for developing robust methods for sequential decision-making under uncertainty, building on state-of-the-art