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development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D
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research: Plant Phenotyping, Image Analysis, About UM6P: Mohammed VI Polytechnic University (UM6P,https://www.um6p.ma/en ) is an international higher education institution, established to provide research
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Appointment Term: 1-2 years Appointment Start Date: January 2026 Group or Departmental Website: https://greiciuslab.stanford.edu/ (link is external) How to Submit Application Materials: Please email application
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compute 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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models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi-modality data analysis (e.g., image
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, OpenCV), GPU computing (e.g., CUDA), SLAM and point cloud processing (e.g., PCL). Familiarity with ROS-based development and Linux software tools is considered a fundamental asset. (30
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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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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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algebra methods targeting large-scale HPC systems. Optimization of linear algebra libraries for modern architectures (e.g., GPUs). Exploration of linear algebra methods in computational physics applications