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well as large-scale GPU computing facilities for deep learning. We are looking for a Senior Research Engineer to manage the EEE GPU Cluster. The role will focus on leading the EEE GPU Cluster team and in charge
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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-mode taxonomies). Implement and maintain high-quality research codebases (PyTorch/HF), experiment tracking, and compute workflows (multi-GPU, HPC/cluster), ensuring reproducibility and documentation
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Language Models (MLLMs) and their agentic implementations. Develop and benchmark novel adversarial attacks and defense strategies, focusing on the intersection of computer vision, natural language processing
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, networks and GPU resources. The role ensures secure, efficient, and scalable systems to support research and administrative functions. This position work closely with PI, researchers and technical vendors
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. Programming & Software Development: Proficiency in Python, PyTorch, JAX, or other ML frameworks Computing: Some experience with large-scale datasets, parallel computing, and GPUs/TPUs. Algorithm Development
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. Conduct experimental studies using GPU-enabled computing resources for model training, inference, and simulation-based evaluation. Support rapid prototyping and iteration of research ideas, from concept
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-on experience in managing lab operations involving equipment operations and maintenance, procurement, safety and asset management. Experience in managing GPU servers / computing hardware will be advantageous