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University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the design, development, and validation of material, control systems, and algorithms for next-generation soft
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Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 24 days ago
expressivity and complexity of neural networks and neural operators, as well as on the development of novel algorithms connecting theory with practice. For more information contact Dr. Ahmed Abdeljawad
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Eligibility criteria An advanced level in game theory and/or information economics is expected. Skills in algorithmics are a plus but not a requirement. Website for additional job details https://emploi.cnrs.fr
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courses in Computer Science and Information Technology. Courses may include areas such as programming, data structures, algorithms, databases, cybersecurity, networking, web development, software
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work environment. We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms
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intelligence algorithms, capable of warning far- mers in order to enable early and appropriate interventions. The proposed solution relies on the use of several complementary technologies : • Cameras
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Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
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industry and international partners. For more details, please view https://www.ntu.edu.sg/atmri . We are looking for a Research Engineer to conduct research on air traffic management (ATM) algorithms and
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platform integrating advanced robotics, materials characterization systems, digital twins and AI-based decision-making algorithms for accelerated research. The platform will incorporate explainable AI
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reinforcement learning Enhancing transparency and contestability of decision-making processes, taking a multimodal approach to reveal the reasoning behind complex AI-driven planning and learning algorithms