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Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation Job No.: 698995 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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agreement Graduate research degree: Doctor of Philosophy (PhD) Location: Clayton campus Department: Materials Science and Engineering Funded PhD project for domestic and international applicants, subject to
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pioneering research in optical excitations, organic/inorganic semiconductors, macromolecular science, and advanced energy technologies. The International Joint Degree As part of this program (integrated within
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PhD scholarship opportunity in Materials Science and Engineering: NOₓ production by plasma bubble reactor Job No.: 697669 Faculty/Portfolio: Faculty of Engineering Location: CSIRO Clayton, Victoria
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, suppressing dendrite formation, and enabling high-performance solid-state metal batteries. The successful candidate will employ synthetic chemistry, advanced materials characterisation, and electrochemical
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engineering, X-ray science, and artificial intelligence. Project Details - Start: July 2026 - Graduate research degree: Doctor of Philosophy (PhD) - Location: Clayton campus - Department: Materials Science and
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in galaxies: how gas and dust form molecular clouds, how stars are born from these environments, and how stellar evolution and feedback return material back to the interstellar medium. Stars are born
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technologies that may one day surpass conventional silicon electronics. Much of this work sits within the Monash–Warwick Alliance Major Project I lead on atomically thin materials for low‑energy electronics — a
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- and many-body physics in scenarios ranging from superfluids to quantum impurity problems to light-matter coupled systems. A large part of my work is carried out within the Australian Centre
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capability. Details of the relevant requirements are available at www.monash.edu/graduate-research/study/apply . A degree in Chemistry, Chemical Engineering, Materials Science Electrochemistry, Physics, or a