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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in working with nuclear fuel modelling, machine learning
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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boundaries. Job requirements You hold an MSc degree in Electrical Engineering, Wireless Communications, Computer Engineering, Aerospace Engineering, Applied Physics, Physics, or a closely related discipline
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lab teaching and assessment, further building the skills developed within your PhD research programme. The position is grade 6 with a current salary of £31,236 and includes payment of home PhD tuition
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the following conditions: 1. Scientific Area: Engineering 2. Admission Requirements: i) Student enrolled in a Doctoral Program in Electrical and Computer Engineering or related fields; ii) Suitability
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of mill and production operations. The scientific challenge will be to use the model and machine learning alongside live mill data (temperature, rolling loads etc) to reverse engineer the current
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the Computer Engineering PhD program of the Department of Electrical and Computer Engineering (ECE). In selected cases, and where research alignment is appropriate, students may also be enrolled in the PhD
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on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
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-friendly software tool, based on state-of-the-art machine learning models [1], that can predict the outcome of HFNC therapy in individual patients with higher accuracy than current clinical indices, early in
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PhD Studentship: Efficient Long-Horizon Task Execution in Physical AI (deep learning, computer vision, robotics) Number of awards: 1 Award information: Fully funded PhD studentship covering Home