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the FNR JUMP programme at the SnT research centre and to join SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan ). The successful candidate will work closely with the project lead and team
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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