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their best work. The School of Mathematics and Statistics at UNSW is a leading research mathematics school in Australia and enjoys a strong international reputation: http://www.maths.unsw.edu.au/about/about
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equivalent education in one of the following fields: statistics, mathematics, physics, hydrology, computational engineering, computer science. In case your MSc degree has not been awarded, the master's thesis
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of the project support. Candidates should have a PhD degree in a quantitative field, such as data science, computational biology, mathematics, computer science, (bio)statistics, or related field. Research
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Research Fellow (Process Control/Control Science & Engineering/Applied Mathematics/Machine Learning)
Requirements: Obtained a PhD degree (or will be awarded PhD degree shortly) in Process Control, Control Science And Engineering, Applied Mathematics, Machine Learning or related fields. An excellent track record
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, principles and statistical aspects of advanced mathematical modeling and simulation Ability to effectively translate/condense/summarize outcomes of modeling and simulation analyses into useable information
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level qualification in health economics/economics or other quantitative subject such as applied mathematics, operational research or applied statistics. A PhD or equivalent research experience in health
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and contribute to research proposals. Publish developed algorithms as software packages. What is Required: Ph.D. in the last 3 years in Machine Learning, Applied Mathematics, Statistics, Computational
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. The department offers study programs at all levels within the areas Mathematics, Statistics and Physics. The department is responsible for all basic tuition in mathematics, physics and statistics
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teaching responsibilities., e.g. to contribute time to existing courses or to embed teaching on the research area into the existing syllabus. Essential requirements PhD in Engineering, Physics, Mathematics
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Associate Climate Researcher and Climate Research Fellow in Natural Hazards Research/Climate Science
A or Academic Level B. Demonstrated knowledge and contemporary technical expertise in quantitative climate science. Proficiency in mathematical and statistical methods for developing and implementing