417 algorithm-development-"Multiple"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University"-"Prof" positions
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Field
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- conducting processors with respect to practical short-depth (NISQ) quantum algorithms Cooperate and actively work with experimental partners developing quantum processors using these technological platforms
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, physics, or a medical imaging related field. Experience with developing advanced pulse sequences or accelerated acquisition and reconstruction algorithms will be highly valued. Interested candidates should
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on the littoral environment. Algorithm development includes photogrammetric measurements of wave parameters, image stabilization, and use of AI/ML models for image segmentation and classification. Algorithms will
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include: Advanced Reinforcement Learning: From sample-efficient offline RL to multi-agent coordination and hierarchical RL, we are developing algorithms that can learn complex behaviors and strategies in
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environment empowering our people to fulfil their personal and professional ambitions Gender-friendly environment with multiple actions to attract, develop and retain women in science 32 days’ paid annual leave
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developing machine learning algorithms specifically designed for medical imaging applications. In addition, performs analysis of tissue images of cancer using machine learning methods that have been prototyped
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) Employee Classification: Other Institution: Southwest Tennessee Community College Department: Men’s Basketball Campus Location: STCC - Multiple Campus Locations Job Summary The Men’s Basketball Social Media
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an internationally recognized research team at LAAS-CNRS in Toulouse, focused on developing autonomous mobile machines that integrate perception, reasoning, learning, action, and reaction capabilities
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control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
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cooperative, competitive, and mixed settings. Collaborative decision-making frameworks and decentralized learning algorithms. Adaptive, meta-learning, and context-aware strategies to enhance policy