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interests in the areas of applied mathematics, pure mathematics, statistics, and data science. It has particular research strengths in Algebra, Analysis, Number Theory, Bayesian and Monte Carlo Methods
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statisticians. Your key responsibilities will be to: contribute to in the development, implementation, and promotion of mathematical/statistical education programs at the School of Mathematics and Statistics
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Lecturer in Data Science who has: a PhD or a doctorate in Mathematics, Applied Mathematics, Statistics, or related field an outstanding track record of publishing their research in areas of data science
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, peers and supervisor) and implement strategies to improve practice Essential Skills and Experience Level A A doctoral qualification or relevant industry experience in Mathematics, Statistics, or a closely
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, Software Engineering, Artificial Intelligence, Mathematics, Statistics, Physics, Astrophysics and Medical Physics. Our strong partnership with Sir Charles Gairdner Hospital and private medical centres across
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or relevant industry experience in Mathematics, Statistics, or a closely related field. Candidates who are nearing completion of their doctoral qualification are encouraged to apply Ability
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doctoral qualification or relevant industry experience in Mathematics, Statistics, or a closely related field Candidates who are nearing completion of their doctoral qualification are encouraged to apply
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interests in the areas of applied mathematics, pure mathematics, statistics, and data science. It has particular research strengths in Algebra, Analysis, Number Theory, Bayesian and Monte Carlo Methods
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research interests in the areas of applied mathematics, pure mathematics, statistics, and data science. It has particular research strengths in Algebra, Analysis, Number Theory, Bayesian and Monte Carlo
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to provide high-quality learning experiences in disciplines covered by the school: applied and computational mathematics, statistics, operations research, engineering, science and health science. About us QUT