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learning and digital education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and
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technologies and improve people’s way of life. Our research spans physics, chemistry, biology, applied mathematics and engineering, culminating in research and property analysis of materials to optimise
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include experience in scientific programming and data computing, signal processing, statistical analysis. Knowledge of mathematical methods and numerical analysis are an asset. The candidate will be asked
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are welcome from domestic and international applicants. Applicants must have completed, or expect to complete, a bachelors degree with honours equivalent to first class honours or a Masters degree (AQF Level 9
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24 May 2024 Job Information Organisation/Company Linköping University Research Field Computer science » Informatics Computer science » Other Mathematics » Statistics Researcher Profile First Stage
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to complete, a bachelors degree with honours equivalent to first class honours or a Masters degree (AQF Level 9) incorporating a significant research component of a standard comparable to a bachelor honours
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equivalent to first class honours or a Masters degree (AQF Level 9) incorporating a significant research component of a standard comparable to a bachelor honours degree or be regarded by Griffith University as
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Science in Quantitative Finance; or C04419 - Master of Mathematics and Quantitative Finance; and Meet course admission criteria for one of the eligible postgraduate coursework course, as listed above; and
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of interest are welcome from domestic and international applicants. Applicants must have completed, or expect to complete, a bachelors degree with honours equivalent to first class honours or a Masters degree
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applicants. Applicants must have completed, or expect to complete, a bachelors degree with honours equivalent to second class, division A honours or a Masters degree (AQF Level 9) incorporating a significant