10 computer-programmer "https:" "https:" "https:" "https:" PhD scholarships at ETH Zurich in India
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teaching activities and the supervision of student projects Profile A Master's degree in computer science, machine learning, statistics, applied mathematics, or a closely related technical field Strong
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candidate with a strong background in robotics, computer vision, or machine learning who is passionate about developing intelligent robotic systems and translating scientific concepts into working
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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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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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prevention, stroke rehabilitation, and chronic disease prevention. The PhD student will work in an interdisciplinary team spanning behavioural scientists, clinical psychologists, computer scientists, AI
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integrity to apply. Workplace Workplace We offer The project offers research and training in computational chemistry and computer-aided drug design. Group members will not only have the opportunities
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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
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modulators for medical applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various power electronic systems, we develop advanced multi
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applications (computer tomography/cancer treatment) and accelerators (CERN). For the design and optimisation of the various power electronic systems, we develop advanced multi-physics models/digital twins
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have ideally already demonstrated: A completed or nearly completed Master's degree in mechanical engineering, robotics, mechatronics, electrical engineering, computer science, materials science