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— we seek them out and take them on. We welcome students, faculty and staff from every background and perspective into a community where everyone feels seen and heard. We have deep-rooted mindfulness
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where everyone feels seen and heard. We have deep-rooted mindfulness for the natural world and all who depend on it, and together, we apply knowledge, tools and skills to build a better future for all
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Location: Central Cambridge PhD Studentship - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based elaboration of biocatalysis
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) Develop AI‑driven model calibration by designing a deep‑learning pipeline mapping data extracted from experiments onto force fields and use these predictions to initialise Cytosim simulations. (3) Use
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intelligence, computer vision, object detection, and deep reinforcement learning for perception, artificial intelligence concepts and techniques in the field of transport and infrastructure. What We Offer Full
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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
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. Responsibilities The successful candidate will: Demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, academic achievement, and
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of the elasticity parameters observed on real examples, iv) coordination of the activities with the other project members. Where to apply Website https://www.univr.it/it/concorsi/contratti-e-assegni-di-ricerca
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study on camera pose estimation using deep learning-based methods, ii) identification of scenarios to be used as case studies, iii) data collection and construction of 3D models of the involved scenes, iv
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are committed to enhancing student success by engaging students in quality academic, research, internships, global studies, and other experiential learning opportunities. Positions with primary responsibility