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mathematical modelling, with a focus on real-world applications. This includes statistics, uncertainty quantification, data analysis, signal processing, (mathematical foundations of) machine learning, and
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/scientific fields; Programming experience in languages such as Python or C++; Knowledge of Nvidia Omniverse; Familiarity with AI or machine learning techniques applied to simulation, control, or optimisation
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methodologies, such as additive manufacturing, for projects within the centre and for space exploration; Developing new ideas around medical technologies, for example, using machine learning techniques to support
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processing, (mathematical foundations of) machine learning, and dynamical systems. Your job In this position, you will divide your time roughly equally between research and teaching (approximately 50% each
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/ Opens external Job description You educate and inspire the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and
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, simulations, and games, which use a variety of AI technologies to learn from, collaborate with, support, or improve humans; Deep Learning for Perception: Use of deep learning algorithms for computer vision
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: - A Master's degree or PhD in a relevant field. - Demonstrable expertise in at least one of the following three domains: 1. Artificial Intelligence / Data Science: A strong understanding of machine
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intelligence and machine learning techniques; Pointing engineering, including stabilisation techniques and control strategies; Failure Detection Isolation and Recovery (FDIR) for AOCS and GNC systems; State
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intelligence and machine learning techniques; Pointing engineering, including stabilisation techniques and control strategies; Failure Detection Isolation and Recovery (FDIR) for AOCS and GNC systems; State
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of this campaign is to acquire data over glaciers and sea ice in Iceland and Greenland to test the instrument. You will process the data with the Level-1 processor and analyse the data. The analysis will at least