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Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have opportunities to tackle real-world, industry-relevant
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in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply
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your communication abilities and experience the breadth of technologies that are used in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for
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and IT queries and you will also take on a variety of tasks to support the service using the Library and enquiry management systems. Our Learning Space Assistants are often the first source of help
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academic collaborators, you will contribute to cutting-edge research in artificial intelligence, multimodal learning, and machine translation. The role involves developing and fine-tuning large-scale
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enhancement, of a high-quality student learning experience. The post is fixed- term, until the 31st of July 2028 . The role is suitable for blended working. Please visit the LTDS web pages to find out more
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out more about Business Computer Projects (BCP) go to https://www.bcpsoftware.com/about-us/ . Qualifications we require: Hold, or be about to obtain, an honours degree (2.1 or 1st) OR master's degree in
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candidates in the area of Business Analytics, with particular interest in those applying machine learning and deep learning methods to business domains, such as HR analytics, marketing analytics, and
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& Algorithms for Machine Learning Mathematics for Machine Learning Machine Learning Foundation Machine Learning Techniques Computer Vision Deep Machine Learning Natural Language Processing Artificial
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Protection: 8th International Conference, EuroMed 2020, Virtual Event, November 2–5, 2020, Revised Selected Papers Virtual Heritage Learning Environments Pages 427–437. https://doi.org/10.1007/978-3-030-73043