55 development-"https:"-"https:"-"https:"-"CNRS-"-"Aix-Marseille-University-" Postdoctoral positions in Australia
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multiple countries. The position offers a highly collaborative and interdisciplinary research environment. The successful candidate will be expected to: develop computational algorithms for time-dependent
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Disease Dynamics and Interventions group , the role focuses on developing and applying sophisticated mathematical, statistical and computational models to inform vaccination strategies for endemic
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substance use and mental disorders. The Matilda Centre brings together researchers in broad fields to share skills, integrate data, and harness new technologies to develop and trial innovative prevention
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for its pioneering work on Vibrio natriegens, including the development of advanced genetic toolkits, high-throughput engineering platforms, and systems-level optimisation strategies. The group works at
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and AI/ML. In this role, you will advance innovative research that apply AI/ML to develop methods and tools to improve crop performance and resilience, contributing to solutions for global food security
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, enabled by agentic and embodied AI. Working under the supervision of Dr Neda Mohammadi , the successful candidate will contribute to the development of new concepts, methods, and scalable systems
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Full time fixed term 2-year position Work within a major industry‑backed, multidisciplinary research partnership developing cutting‑edge metal composite coatings for extreme industrial environments
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opportunity for a highly motivated computational biologist to join a multidisciplinary research team investigating plant–pathogen interactions through integrative computational modelling. You will develop and
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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
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of complex cardiac motion during radiation therapy. The successful candidate will also contribute to the development of advanced non-invasive cardiac mapping approaches, involving multi-signal acquisition