11 optimization-computer PhD positions at Swinburne University of Technology in Australia
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Local students applying for a place in a higher degrees by research (HDR) program will automatically be considered for an Australian Government Research Training Program (RTP) Fees-Offset (Domestic
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. • Proficient computer skills, including competence in the use of MS Office and other software packages, especially word processing, database and spreadsheet skills. About Swinburne University of Technology
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, Materials Science, or Manufacturing Engineering. Applicants should also ensure they meet the eligibility criteria for entry into a Swinburne PhD program. Full details can be found here . Additionally
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nanoparticles in drug delivery or diagnostics, familiarity with cellular targeting, and use of computational tools to model nanoparticle behaviour. Experience in a regulated research environment is also
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are seeking a highly motivated and enthusiastic candidate with a strong interest in computer vision, AI, and robotics. The ideal candidate will have solid programming skills, particularly in Python, and be well
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health services. The PhD scholarship is available for a highly motivated and competitive candidate enrolled in a PhD program to undertake research that supports the research agenda of the project
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CSIRO’s prestigious Industry PhD (iPhD) Program, designed to bridge the gap between academia and industry by developing innovative solutions for real-world challenges. As a PhD candidate, you will play a
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, especially in ultracold quantum gases or condensed matter theory Proven analytical, computational, and modelling skills Experience with numerical simulations of quantum or many-body systems A deep curiosity
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(Forensicare). The scholarship opportunity is open to individuals who identify as Aboriginal or Torres Strait Islander and are enrolled in a Doctoral Program. The scholarship aims to support highly motivated and
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chemoreceptor activity. Your work will bridge both computational and experimental research, including validation using in vivo models, optimising light delivery systems, and aligning in vitro and in vivo findings