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. Laser system modelling. Machine learning. Skills & Experience: Desirable Criteria Previous experience working in a laser applications research environment. Nationality, Residency & Place of Work This is a
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working at the intersection of AI, NLP, machine learning, and robotics, frequently tackling real-world challenges such as assistive technology, healthcare, and safe conversational interaction. You will join
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Maths, Physics, Chemistry, Computer Science, Business Management, Psychology, Design, Academic English and Approaches to Learning. Please note that there may not be openings at this time, but applications
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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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colleagues who embrace accessible learning, pursue excellence, value collaboration, and are passionate about making a difference. TransiT is a consortium of eight universities, funded by UKRI and stakeholders
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of internationally recognised research with excellent publications and the potential, ambition and plans to obtain research funding. E3: Skills to develop and teach a range of lecture courses in mathematics, as
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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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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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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