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Launch your career at Australia’s leading scientific research organisation! Exciting opportunity for an early career researcher with a PhD in Mathematics, Data Science, or Computer Science Join the
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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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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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, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and
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, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator algebras, complex analysis and logic. We have
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characterization platforms, state-of-the-art microscopy resources, and computational tools for systems biology approaches. The position emphasizes rigorous mechanistic investigation using both in vivo (C. elegans
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Requirements: MSc (Research Associate) or PhD (Research Fellow) in Mathematics or Computer Science or closely related fields. Ability to design and implement advanced algorithms and data structures. Independent
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for faculty positions in mathematics and related interdisciplinary areas, including but not limited to: Computational and applied mathematics; artificial intelligence for sciences (especially biomedical science
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findings at conferences. Job Requirements: Educational Qualifications - Ph.D. in Statistics, Computer Science, Applied Mathematics, or a related field. - Strong research background in Statistics and Machine
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research