35 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" positions at University of Leicester in United Kingdom
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Learning Innovation. With a diverse student body of over 20,000, we are proud to foster a welcoming and inclusive environment where every learner can thrive. This year, the University has celebrated numerous
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highly educated and to experience higher levels of economic advantage. Building on earlier AHRC-funded research - https://museumattendance.le.ac.uk/ - the Addressing the Museum Attendance and Benefit Gap
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in the natural environment and their influence on human exposure via air, water, soil and food. This will include using and developing mass balance and dispersion models, applying machine learning
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outputs. Experience in cardiovascular MRI, cardiac diffusion tensor imaging, and machine learning or deep learning methods applied to imaging is highly desirable. You will be a collaborative and motivated
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About the role This role offers an opportunity to contribute to the School’s established strengths in applied statistics, artificial intelligence, machine learning and data science. You will drive
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calendaring (based on MS Exchange), networked printers, provision of equipment in teaching rooms, lecture theatres and open access computer areas, a Virtual Learning Environment, web, print and moving image
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About the role The University of Leicester is dedicated to delivering an exceptional student experience. Recognising our diverse student community, we are seeking a Specific Learning Differences
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industrial experience, and a proven track record of excellent teaching at undergraduate and postgraduate level. You will demonstrate leadership in learning and teaching, a commitment to inclusive curriculum
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taught programmes. The role involves curriculum development, assessment, academic leadership in learning and teaching, and active engagement with students to support their academic progress and
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on campus and through distance learning. You will play a key part in maintaining the School’s reputation for teaching excellence by engaging in curriculum development, supervising dissertations, and ensuring