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(MSc., M.Eng. or equivalent) in Computer Science, Electrical Engineering, Robotics, or related field You bring: A strong foundation in machine learning , including classification and regression, model
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 19 hours ago
Closing date 30 Jun 2027 View more categories View less categories Academic Discipline Computer Science , Engineering & Technology Job Type Academic Posts , Principal / Senior Lecturers / Associate
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international affairs. Candidates will be considered from a variety of disciplines, including computer science, economics, sociology, political science, international relations, political economy
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) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory experience in imaging would be a benefit Highly
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programming skills, scientific curiosity, and a passion for intelligent robotic systems. You should have: A Master's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering
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extension of results. Collaborate with interdisciplinary teams across multiple institutions. What you bring: Master's or PhD in Computer Science, Applied Mathematics, Physics, Computational Chemistry, or a
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is enthusiastic about developing algorithms and software for data-based modelling of biological systems. The position suits someone with training in computer science, scientific computing or a related
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Assistant professor or Tenure-track Assistant professor in Distributed, Embedded and Intelligent Systems - Aalborg Campus (DEIS) Department of Computer Science, Aalborg University is hiring an
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Essential criteria Degree in engineering, computer science, physics, mathematics, statistics or related quantitative discipline (UK 2:1 or equivalent) Meet all mandatory MSCA mobility rules - applicants must
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in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning Strong interest in the development of theoretical or computational methods for optimization methods