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University of New South Wales, Mathematics and Statistics Position ID: UNSW -RASRACG [#26759] Position Title: Position Type: Postdoctoral Position Location: Sydney, NSW 2052, Australia [map
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Project Part B in Trimester 1, 2026 Master of Computer Science - semester 2, 2025 enrolment in: COMP SCI 7100A - Research Project Master Computer Science Part A Masters of Mathematical Sciences - semester 2
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Area: Mathematics and Statistics Appl Deadline: 2025/08/10 11:59PM (posted 2025/06/26, listed until 2025/12/26) Position Description: Apply Position Description Full Time, continuing academic opportunity, located
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
movements across the cell envelope, to help inform mathematical models that integrate all of the envelope’s function. Uncovering RNA-RNA Networks in the Regulation of Bacterial Surface Proteins: Bacterial
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University of Melbourne, Mathematics & Statistics Position ID: UniMelb -STATOMICS [#26766] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Melbourne, Victoria 3052
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inference and machine learning to develop subject specific mathematical models of the brain that can be used to infer brain states and monitor and image the brain. This work is centred around a
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an outstanding researcher to join the ARC Centre of Excellence for the Mathematical Analysis of Cellular Systems (MACSYS) as a Fellow (Academic Level C) in the Quantitative and Computational Biology Group
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Australian National University | Canberra, Australian Capital Territory | Australia | about 24 hours ago
Mathematical Analysis of Cellular Systems (MACSYS). The Project Lead will work closely with academic leaders, research teams, and external partners to support project planning, manage grant submissions and
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tools in quantum information science will be advantageous. As the successful applicant, you will also have; ·A PhD Degree in Computer Science, Mathematics, Physics or a very closely related field
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements