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Job id: 088046. Salary: £43,205 - £50,585 per annum, including London Weighting Allowance. Posted: 18 April 2024. Closing date: 06 June 2024. Business unit: Natural, Mathematical & Engineering Sci
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of Faculty member Hubie Chen. The successful applicant should have (or expected to receive) a PhD in Computer Science, Mathematics, or a related discipline. Research interest and experience in the following
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Job titleHourly Paid Learner Recruitment and sales (Call Centre) Job referenceR004072 Date posted18/04/2024 Application closing date30/04/2024 LocationTottenham - London Salary£13.15 per hour (Holiday excluded) Contractual hoursBlank BasisBlank Job category/typeBusiness...
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of the post. Skills, knowledge, and experience Essential criteria PhD in statistics, epidemiology, data science or health-related discipline* First degree in mathematics, statistics or health related discipline
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Mathematics, Statistics, Computer Science or related discipline. We are seeking applicants who have knowledge of a wide range of statistical and/or deep learning methods used to model complex data, as
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insight into the curatorial contexts and modes of material exchange involved in art business Desirable criteria An understanding of basic mathematical principles, spreadsheet formulae, and data analysis
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prediction. This project is a collaborative effort between the School of Computing & Mathematical Sciences (CMS) and the School of Engineering (SoE) to utilise expertise and facilities between two schools
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Novel topologies and technologies for advanced reluctance machines Key information Lead supervisors: Dr Pedram Asef Application deadline: 15 June 2024 Project start date: 01 October 2024 Project duration: 4 years Studentship funding: Full Home/UK tuition fees (currently £6,035/year) and...
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Ability to perform mathematical calculations. NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS Majority of work will be performed during the standard workday, but ability to work flexible
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About us The Department of Informatics in the Faculty of Natural, Mathematical & Engineering Sciences (NMES) is a cutting-edge place to study and research the field of computer science and the