583 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Sheffield
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background in physics, engineering, mathematics, or related quantitative discipline Interest in biological systems and interdisciplinary research Experience or willingness to learn computational modelling
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. Gate oxide thickness and chemistry determine the switching behaviour of field-effect transistors used in microelectronics. It is, however, often quite difficult to learn anything about such intergranular
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knowledge or skills are required, beyond general computer literacy, as all training will be provided. The project requires a highly motivated research associate, with excellent communication skills in French
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, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply. For us to learn more about you, your
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their role. A commitment to your development access to learning and mentoring schemes; integrated with our Professional Services Shared Skills Framework. A range of generous family-friendly policies paid time
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professional conferences. Design and deliver high-quality, research-led learning and teaching for modules (including field classes) on undergraduate and postgraduate programmes in the School.This will include
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for the excellence, impact and the distinctiveness of its research-led learning and teaching across a wide range of disciplines, we are home to 30,000 of the brightest students and over 8,000 staff from more than 140
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data analytics and a willingness to learn new technical skills. Essential Application/interview Experience of extracting data from a range of different sources and preparing it for onward use. Essential
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submarine landslides interact with offshore infrastructure through advanced computer and physical modelling. The student will develop numerical simulations to study how seabed materials move, how
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beyond in their role. A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways A range of generous family-friendly policies paid time off