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and Education (CODE) section, at University of Twnete, working closely with AI specialists and data scientists. Methodologically, you will explore advanced deep learning approaches, including
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(BSI), where you will work within the framework of the Learning, Education, & Development research programme. Within this programme, researchers conduct fundamental and applied research into individual
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related to learning, behavior, and interactions between humans and systems using advanced quantitative methods. You will be part of a team developing and testing VR simulations. You will perform and conduct
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applications* in close collaboration with other discipline experts (software, microelectronics and applications engineers). * except for RF payloads. ** including artificial intelligence and machine learning
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; multiple courses to follow from our Teaching and Learning Centre; multiple courses on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an
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to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its underlying mechanisms, research and education at the ME faculty
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. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
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records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records
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relevant social science; Demonstrable knowledge of and experience with laboratory experiments. In case of no or little experience, a strong motivation to acquire this knowledge and expertise; Demonstrable
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making an internal move? Learn more about internal applications . Website for additional job details https://www.academictransfer.com/354745/ Work Location(s) Number of offers available1Company