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mathematical statistics, machine learning, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
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flourish. If you have any access needs related to disability, neurodivergence or a chronic condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https
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condition, please contact us so we can make all necessary accommodation. Find out more about our DEI work here https://group.springernature.com/gp/group/taking-responsibility/diversity-equity-inclusion
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applying AI and statistical models to large-scale, multi-omics, imaging, and clinical datasets Familiarity with Linux-based environments, shell scripting (e.g. bash), and high-performance or cloud computing
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, and government. Teaching & Curriculum Development Design and deliver advanced undergraduate and postgraduate courses at the intersection of FinTech and AI. Play a pivotal role in programme accreditation
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policies. Experience, Skills & Qualifications: Essential: A PhD (or equivalent) in a relevant discipline within biomedical, clinical or public health research. Candidates with a background in computational
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, detailing how you fulfill the role description and personal specification to https://plusportal.perrettlaver.com/VacancyDetail/768dc97c-4905-b450-832c-3a1d82afc87e quoting reference 8159. The deadline
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education/experience. Demonstrated ability to communicate effectively orally and in writing. Experience with computer-based business information systems and experience utilizing spreadsheets, databases, etc
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or in writing to WSU’s Compliance and Civil Rights, the Department of Education’s Office of Civil Rights, or both. More information, resources, and contact information are available here: https
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About the job: The School of Electronics, Electrical Engineering & Computer Science (EEECS) at Queen's University, is seeking to appoint a Lecturer in Artificial Intelligence.This post will be based