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doing basic research in areas such as: AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep
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multimodal clinical and laboratory-based data acquisition, collaboration with computer scientists, engineers, clinicians, and translational researchers across Europe, and insight into how digital health
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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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space in immersive virtual environments, approaches related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome
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materials, actuated by muscle and powered by chemical energy. Perception and Computer Vision: 3D reconstruction, object recognition, and scene understanding that give robots reliable perception of
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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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or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of
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Profile Master's degree in engineering, physics, applied mathematics, computer science, or closely related field Strong background in mathematics and machine learning Programming proficiency in Python, C
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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