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-scale projects is highly preferred. Familiarity with finance management, budget tracking, procurement, or grant administration will be an added advantage. Experience in areas such as Machine Learning
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NVIDIA Isaac Sim, Isaac Lab, Gazebo, or MuJoCo. Familiarity with humanoid robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning, imitation learning
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computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph
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++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents, or similar. Solid expertise
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numerical modelling and modern machine-learning and optimisation techniques. The research will include coherent beam combination, programmable beam shaping, optical propagation modelling, experimental
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based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge
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. Requirements: PhD in AI, Computer Science, Machine Learning, NLP, or a related discipline; or a Master’s degree with substantial applied research experience. 2-4 years hands-on experience with LLM
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multidisciplinary research team of Dr. Akhilesh Pandey at Mayo Clinic, Rochester, working at the intersection of digital pathology, artificial intelligence (AI), and machine learning (ML). This position
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research skillset in novel machine learning approaches, we are recruiting a team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with us on
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with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering