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materials technologies. We focus on the unique physical properties and disruptive application potential of two-dimensional materials, leverage intelligent materials design and multi-scale computational
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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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-Based Generative Models: How can we fundamentally redesign generation processes for superior efficiency, controllability, and quality? We are exploring diffusion models, flow-matching, and other parallel
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. This position uses resources made available by the Flemish Government through the Special Research Fund (BOFZAP). Applications will be evaluated in parallel and independently by 1) the KU Leuven Research Council
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libraries like NCCL/RCCL and experience with high performance computing middleware is highly desirable. Optimizations of large parallel code bases and experience with GPU programming languages such as CUDA