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digital leaders. By the end of this PhD project, the candidate will be in demand from majority of mining and supply chain companies. The ideal candidate we are looking for: Passionate about optimisation
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The PhD candidate will gain intensive knowledge in innovative processing protocols for complex mineral processing, column leaching, and mining site environmental science through hands-on experiments
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the applicant must be living in Australia upon commencement of the PhD Applicants should contact Dr. Ronny Andrade Parra via ronny.andrade.parra@rmit.edu.au with the following information to discuss eligibility
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immune responses to promote T cell-mediated tumour clearance. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements for the Doctor of Philosophy. and Be judged to be highly competitive for RMIT PhD
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ADM+S invites applications for PhD scholarships from students interested in the following areas: The development and distribution of automated decision-making (ADM) systems The applications
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Kerryn Butler-Henderson via kerryn.butler-henderson@rmit.edu.au by 31 October 2022, with: A cover letter - outlining interest and alignment with the proposed research (see Further Information) A copy of
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and the contact details of two referees. Prospective candidates will be invited to submit a full application for admission to the PhD Biomedical Science (DR227). Scholarship applications will only be