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approach of microbiology, biochemistry, molecular biology, multi-omics and mathematical modelling to understanding the role of metabolic pathways in the virulence and antimicrobial susceptibility
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
31 Jul 2026 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Mathematics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application
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Mathematiques A), overall high-school average, Mathematics grade in the national exam, and overall average/ranking in university studies. Job Location Benguerir, Morocco Where to apply Website https
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or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and
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to prevent, halt, and reverse damage from disease and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups
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, mathematical modeling, optimization, and scientific computing. Experience in computational imaging, inverse problem solving, machine learning, or artificial intelligence is highly desirable. Excellent
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damage from disease and injury. We are looking for recruits whose research program that align with any of the current research themes at ARMI: https://armi.org.au/our-groups/ Heart and Muscle Development
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requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University of Oslo, Department of Mathematics PhD programme
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programme: University of Oslo, Faculty of Mathematics and Natural Sciences Starting date: preferably in 2026, by agreement Project 5: Models and dynamics of machine reasoning Employment: UiT - The Arctic
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projects include detecting API misuse, analyzing program performance, measuring energy consumption, detecting security vulnerabilities, supporting library migrations, and leveraging large language models