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Selectris energy filter and Falcon 4i. The Crick Institute has excellent High Performance Computing resources, dedicated high-speed data storage and CPU and GPU clusters. In collaboration with the Cryo-EM
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or research experience in computer vision or machine learning. • Experience optimizing models for real-time inference on edge and embedded platforms using techniques such as quantization, pruning, and GPU
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-modal”) neural + behavioral disease-state models. The purpose of the research project(s) this position supports: The purpose of the research supported by this position is to develop a computational
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-efficient designs, GPUs and HPC), Data Science/AI/Machine Learning (e.g., fundamentals, trust and explainability, LLMs, autonomous systems, computer vision), Security (e.g., fundamentals, hardware/software
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diverse scientific domains, pushing the boundaries of AI to solve some of the most pressing scientific challenges. With access to competitive computational resources, we offer an exciting multidisciplinary
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seeking a Research Technician to join our team. Our lab studies how neural circuits generate complex behaviors in freely behaving animals using computational analysis, deep learning, and calcium imaging
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: Experience in real-time simulation hardware like Opal-RT and RTDS. Experience with software development. Experience with use of DSPs, FPGAs, advanced computing (e.g., GPUs, QPUs). Excellent written and oral
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members in designing and integrating solutions into the AI(X) compute, software and data infrastructure stack, hardening these solutions, testing these on modern high-performance GPU compute clusters, and
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of the following technology areas: hardware/software co-design, performance optimization with heterogeneous and alternative computing systems (CPU/GPU/NPU/etc.), FPGA design, high-performance computing
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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer