66 parallel-computing-numerical-methods-"Multiple" PhD positions at Monash University
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Indigenous PhD Scholarship in Artistic research methods for music and science collaboration Job No.: 689424 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term
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PhD Scholarship - Novel methods to enhance the use of routinely collected linked data for the evaluation of government policies related to healthy ageing Job No.: 691415 Location: Frankston
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Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full
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Cabrini/Monash Nursing and Midwifery PhD Scholarship Program – The Peter Meese Cabrini Oncology Nursing PhD Scholarship Job No.: 690199 Location: To be confirmed (Clayton/Malvern) Employment Type
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the development of numerical methods for astorphysical fluid dynamics and radiation transport. Projects may employ a range of approaches from analytic modelling and numerical calculations on desktop
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies
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research projects will be embedded in a wider research program funded by an NHMRC Ideas Grant focused on advancing adaptive platform trials by incorporating new external research as it emerges. The two PhD
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Centre for Health Economics, Monash Business School, Integrated PhD Program 2026 Fully Funded 4.5-Year PhD in Health Economics - Monash University (Melbourne, Australia) Job no.: 625101 Location
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of neutron stars); stellar rotation of misaligned systems (internal rotation evolution, binary and multiple stars dynamics and interaction). Please feel free to come by my office or drop me an email if you
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analytical imaging methods, then working with collaborators to apply these methods to biomedical research, diagnostic imaging and beyond. Research projects vary from purely theoretical, to computational