214 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham in United Kingdom
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
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Monday to Friday between the hours of 9am-5pm. Job share arrangements may be considered. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs/home.aspx Our university is a
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holder will be responsible for the day-to-day running of this programme of work as part of Dr Chiari’s research team within the Cells, Organisms and Molecular Genetics (COMGen) group (https
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areas for damaged pipes and leaks and recording and monitoring data of both the water and chemical levels adjusting computer systems as required to ensure levels always remain balanced. The successful
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candidates with expertise in communications or photonics technologies; although excellent candidates in any research area with the ability to teach across a range of topics in our undergraduate curriculum will
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. Applicants must have a completed PhD in Social and or Public Policy, Public Administration or a related field by the start date. Candidates must evidence ability to teach courses in International Public Policy
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will be offered instead. How to Apply Applicants are invited to submit their applications via the application link below on or before 22 March 2026. https://jobs.nottingham.edu.cn/job/184498
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run each day, Monday to Friday mornings on the first week of appointment. Further details will be given at interview. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs
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) · Start date: Available immediately · Contract: Fixed term for 3 years · Location: Sutton Bonington Campus, University of Nottingham For more information about our research group, please visit: https
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extrapolated to increase the conservation of our built heritage at risk. Learning from previous earthquakes to increase resilience in future earthquakes in seismic areas (Feilden 1987) is essential to ensure