24 parallel-and-distributed-computing-phd-"Multiple" Fellowship positions at Monash University
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, fabricate structures at the Melbourne Centre for Nanofabrication, and measure their optical and electrical properties. The successful candidate will have a PhD in Physics, Materials Engineering, or a closely
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. We are currently seeking a Research Fellow with experience in AI and machine learning research and development, with a focus on any or all of following application areas: Computer vision Generative AI
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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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attract international scholars, PhD students, and Research Fellows, contributing to innovative research that shapes the field. Ranked among the top 10 institutions in Econometrics, Time Series, and
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the Addiction & Impulsivity Research Lab and the Computational & Systems Neuroscience Lab . You will be part of a collaborative environment that integrates expertise in psychology, neuroscience and computational
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and beyond. About You We're seeking a passionate individual who thrives both independently in a research environment and as a collaborative member of the History program. As the successful candidate you
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, proximal transducer assays, second messenger assays) to understand GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary
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., Native PAGE, cryo-EM) to GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary research teams Working under broad
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s