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supervision and gain teaching experience in higher education. Essential & Desirable Criteria Essential PhD in electronic engineering, machine learning, applied mathematical sciences, or a closely related field
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about 20 people, consisting of postdoctoral and PhD researchers and faculty with expertise in NLP, NLG, Ethics in AI, Reasoning, Generative AI, Multimodal and Embodied AI, machine learning, and
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programmes in the specialist areas of computer sciences, engineering, design, business and the built environment. With a history dating back to 1821, Heriot-Watt University has established a reputation for
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sciences, engineering, design, business and the built environment. With a history dating back to 1821, Heriot-Watt University has established a reputation for world-class teaching and practical, leading-edge
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, Infrastructure and Society. The School is one of the UK’s leaders for multidisciplinary research and teaching in areas critical to economic development and societal equity. On our Dubai campus we teach civil
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, Infrastructure and Society. The School is one of the UK’s leaders for multidisciplinary research and teaching in areas critical to economic development and societal equity. On our Dubai campus we teach civil
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to appoint a fixed-term Assistant Professor to cover the learning and teaching commitments for 12 months. This new Teaching and Scholarship (T&S) staff member will be expected to add to the successful T&S team
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at Université Paris-Saclay (https://cvn.centralesupelec.fr/ ), Prof. Pock from the Institute of Computer Graphics and Vision at Graz University of Technology (ICG ), Prof. Thiran from the EPFL Signal Processing
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) Efficient coupling of deep learning models to numerical solvers for hybrid CO2 flow modelling. The developed machine learning techniques will be open-sourced and be validated across a wide range of
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image processing, from theory and algorithms to applications throughout science and technology. We particularly welcome applications from candidates with expertise and research focus on machine learning