15 computational-cell-signaling-post-doc 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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of Philosophy (Health Sciences), or Doctor of Psychology (Clinical and Forensic Psychology) program. Demonstrated capacity to complete writing tasks to an excellent standard and strong verbal communication skills
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the candidate enrolling in the Doctor of Philosophy (Health Sciences), program. The capacity to work both independently and as part of a team in a collaborative manner. Problem solving and organisational
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numerical modelling framework to simulate how light and heat interact with the target body tissue, while also incorporating neural signalling dynamics to explore how light-based stimulation affects
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manufacturing practices with real-world industry application. This full PhD scholarship is based at Swinburne’s School of Science, Computing and Engineering Technologies in Melbourne. The successful candidate
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Applied mathematics, fluid mechanics, high-performance computer simulations. Full time, fixed term position (3 years) at Hawthorn campus $34,700 per annum (2025 rate) About the Scholarship Higher
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safety, innovation, and making a tangible impact, we encourage your application. Please note that the successful applicant will also need to satisfy the general requirements of entry into a PhD program at
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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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, 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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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