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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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prior experience in planning and conducting mixed-method research projects, statistical and qualitative data analysis and academic writing are encouraged to apply. Interested applicants are advised
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contribute to peer-reviewed academic publications. Contact Samantha Grover for more information Samantha.grover@rmit.edu.au Ideal student skillset Completed honours or master’s degree in earth science, applied
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polymer science. Problem solving skills/experience in applied chemistry, mechanical or electrical engineering. For further information, please contact A/Prof. Ken Chiang (E: Ken.Chiang@rmit.edu.au
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The CSIRO Industry PhD Program is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims to produce the next generation
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Solutions Provider General Program Information: Visit the iPhD website https://www.csiro.au/en/careers/Scholarships-student-opportunities/Postgraduate-programs-and-Scholarships/Industry-PhD/iPhD-Student
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condensed matter physics, physical chemistry or biology Possess a strong interest in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements
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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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social sciences, and must hold a relevant degree with strong skills in programming and machine learning. Please contact Zhuang Li for more information.