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project support scholarship. The student will still require the award of a research scholarship from QUT as part of their admission to the higher degree by research (HDR) program. Preference will be given
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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knowledge in physical chemistry and surface science. Pre-knowledge on programming and molecular simulations (MD or MC) are desirable. Only home (UK) students are eligible for the full funding, but
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motivated students, and EPR/MOF experts. As part of the project, the student will receive training in EPR, NMR, XRD, XPS, TEM. The PhD programme incorporates strong career development elements enabling
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applied knowledge of qualitative research methodologies, including qualitative interviewing, ethnography, and document analysis. However, when joining the KBS PhD programme the student will receive support
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Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted
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embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and
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the project or to discuss whether the project is a good fit for you, you’re welcome to contact: Professor David Johnston at david.johnston@monash.edu Integrated PhD Program The project is based in
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Centre for Health Economics, Monash University Centre for Health Economics, Monash Business School, Integrated PhD Program 2026 Location: Caulfield campus, Monash University, Melbourne, Australia
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compensation plan: tax advantages contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International