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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
function of these cell envelopes for several bacterial species. The most powerful models have several parameters set from experimental observations, in this case data gathered through the use of electron
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, and mortality. This will be achieved by linking large existing datasets that contain data on people with diabetes foot disease in the community (such as Diabetes Registries, Diabetes Foot Registries
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Charles Sturt University’s AI and Cyber Futures Institute (AICF), a cutting-edge research institute of excellence in data science, artificial intelligence, and cyber security, is poised to showcase
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collaboration with the advisor. More information is available here: https://www.jcu.edu.au/graduate-research-school/hdr-candidates/postgraduate-research-scholarshipsLocation: Townsville, QLD, AustraliaStipend
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information about the OPTEX IRTG in general, please consult the IRTG website . For specific questions about the research projects above, please email the corresponding supervisor. For information about the
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personal experience, but typically a 2XE internship is centred on advancing data analysis and developing tools for deploying transformative technologies within the renewable and smart energy sectors
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to the implementation science and evaluation components of this program, which is grounded in principles of Indigenous data sovereignty, self-determination, and health equity. Students will have the opportunity
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to the Terms and Conditions regarding privacy and collection of personal information. Any applicant that does not submit the required documentation, including documentary evidence, will not be considered
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Status: Open Applications open: 23/06/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship supports a
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning