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on GPU clusters and cloud HPC/ADK Implement data-efficient fine-tuning, adaptive learning workflows and agentic frameworks for reasoning Collaborate with machine learning experts and computational
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: Collaboration: Collaboration and cross-fertilization between labs are strongly encouraged. HPC & AI Supercomputing Resources: An extensive GPU-based accelerated computing facility and high-performance data
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18 Oct 2025 Job Information Organisation/Company HONG KONG BAPTIST UNIVERSITY Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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applied Machine Learning Hands-on experience with High Performance Computing Systems Basic knowledge of System Architecture of Supercomputers and NVidia-GPUs Practical experience with ML/DL workflows and
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of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has
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and diffusion models, LLMs, VLMs, LAMs, and world models, and fluency in tools for AI/real-time/graphics pipelines (e.g., Python, PyTorch, C++, GPU/compute, networking). Base location: Pinewood Studios
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computer hardware and network infrastructure for the ITS Research services. This covers the 12000 core, 100 GPU QM High Performance Compute cluster (see https://docs.hpc.qmul.ac.uk ), various hosted
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background in machine learning, deep learning, and/or computer vision; Experience in programming. Python is a must, lower-level GPU programming experience is a bonus; Strong grasp on the English language
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- Research Computing Team Work Type- Hybrid Are you a highly motivated individual who thrives in a fast-paced, high-performing, dynamic team environment? This position works with a broad range of faculty
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Deadline 16 Jan 2026 - 23:00 (UTC) Type of Contract To be defined Job Status Full-time Hours Per Week To be defined Is the job funded through the EU Research Framework Programme? Not funded by a EU programme