31 computational-physics "https:" "https:" "https:" "https:" "Tilburg University" PhD positions at Queensland University of Technology in Australia
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for part-time and/or external study is obtained) commence your degree by 1 Oct 2026 have an honours or master degree in one of these areas: physics inorganic chemistry materials science and engineering
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at building a competitive and capable workforce that will drive the growth of the Australian tech sector. With our program, the NGGP grants will fund a first cohort of 25 higher degree research (HDR) student
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What you'll receive The CSIRO Industry PhD Program (iPhD) is a four-year research training program, aimed to produce the next generation of innovation leaders with the skills to work at the
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challenges in multidisciplinary research areas have a background in computational/theoretical chemistry, computational condensed-matter physics, or a closely related field. How to apply Apply
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engineering applied mathematics civil engineering geotechnical engineering applied physics other related disciplines. Demonstrated knowledge or experience in any of the following: computational fluid dynamics
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-time, internal student (unless approval for part-time and/or external study is obtained) have a background in: control engineering computer science municipal and environmental engineering a related field
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degree (honours) or master degree by research in either: mechanical engineering biomedical engineering chemical engineering civil engineering applied mathematics applied physics related disciplines
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method