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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 9 days ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09405 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Makutu project team specializes in
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software, DAQs, and Unity), ROS-like systems, machine vision, GPU programming, shared memory, agent-based modeling, and/or game development. Physical Requirements: Remaining in a normal seated or standing
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Summary/ Department Summary: The GPU is a procedural unit running 5 days a week for both ambulatory and inpatients. The GPU performs a wide range of non-sterile procedures: examples include; therapeutic
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programming proficiency in Python and C/C++. Expertise in ensemble learning (e.g., Random Forests, Gradient Boosting, bagging/stacking frameworks). Hands-on experience with parallel or GPU-based computing (CUDA
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independently, and solve complex problems, Desirable qualifications: Experience with Vision-Language(-Action) models or physics-informed ML. Experience with GPU programming, NVIDIA Omniverse, Isaac Sim, or other
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 7 days ago
Hours Per Week 38.5 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 2025-09383 Is the Job related to staff position
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working in interdisciplinary teams Clear record of communicating original results in writing and presentations Desired Qualifications: Knowledge of GPU architecture and experience programming GPUs
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. Ability to succeed in an interdisciplinary team and communicate results clearly in writing and presentations. Desired Qualifications: Knowledge of GPU architecture and GPU programming. Interest
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, ANGEL creates and deploys impactful green digital technologies for global sustainability. ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and
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when necessary. Work closely with ODFM to facilitate request for office and lab access. Manage any IT matters, including IT equipment allocation and support for GPU servers (if required). 2. Support on