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Role type: Full-time ; Fixed-term for 2 years Faculty: Science School: School of Mathematics and Statistics, Melbourne Integrative Genomics (MIG) Salary: Level A.4 - A.6 AUD $100,214 - $108,156
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biosciences, chemistry, computing and technology, as well as engineering, forensic science, mathematics, physics and sport science. This mix of traditional and modern subjects encourages and inspires future
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, applied mathematics, statistical physics, biology, or a related field. Reasonable communication skills. Experience in coding with Python, MATLAB, Julia, C/C++, or a similar program language. Experience with
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rolling basis. The position will remain open until filled. Basic Qualifications A Ph.D. in Mathematics, Applied Mathematics, Computer Science, or a related field, by the start of the appointment. Additional
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of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics
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, data science or mathematics OR a good Honours Degree and an appropriate professional qualification and/or membership PhD or active membership of an appropriate professional body is advantageous. Our
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innovation sectors. The Department of Computing and Mathematics, within the Faculty of Science and Engineering, is a dynamic and research-active community comprising over 80 academic staff and 2,000 students
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
of the fellowship is research training leading to the successful completion of a PhD degree. The fellowship requires admission to the PhD programme at the Faculty of Mathematics and Natural Sciences. The application
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applied physics or mathematics or a relevant engineering subject (e.g. mechanical, aerospace, chemical, or process safety). Master students can apply provided they complete their final master exam before
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, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and