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computing frameworks (e.g., MPI, NCCL) and model parallelism techniques. Proficiency in C++/CUDA programming for GPU acceleration. Experience in optimizing deep learning models for inference (e.g., using
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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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Research Scientist Applications are invited for a Research Scientist to join the Laboratory of Dr Evelien Adriaenssens in the Microbes and Food Safety programme at Quadram Institute Bioscience (QIB
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world-class AI research and development hub. Responsibilities Strategic Leadership: Design cutting-edge AI R&D programs and solutions, meeting milestones, and achieving defined success metrics. Team
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experimental data and is testable across multiple unlearning scenarios. For this we plan to apply for the first time Spiking Neural Networks (SNNs) to the modeling of unlearning. SNNs have recently shown