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right for this project. RMIT Physics, in conjunction with the ARC Centre of Excellence for Quantum Computation and Communication Technology (CQC2T), is looking for an exceptionally high-performing student
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the interview process. Please submit your academic CV to the designated supervisor Javad Tavakoli , for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview
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In addition to the Industry PhD Program Scholarship of $34,000 pa (GST exempt, indexed annually at 3%), there is an industry top-up component valued at $12,000 pa (not indexed). As such
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process from biomass. In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite
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an exceptionally high aptitude for advanced physics Candidates must have a first-class Honours degree or a Masters degree in an area of physics related to quantum technology. A Masters Degree is preferred A letter
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
for highly motivated and passionate PhD students to become part of our team. You will work with centre members from diverse research backgrounds in the disciplines of engineering, physics, chemistry and
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Applications are now open. Applications are now open. 28 February 2025. 28 February 2025. 1 (One). 1 (One). Students with bachelor's or master's degree in physics, electronics engineering, nanotechnology
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of computer science. To be eligible for this scholarship you must: Hold a first-class honours or 2A honours or equivalent or a Masters by research degree in a relevant discipline Be an Australian citizen, Australian
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based quantum computers in Australia PhD Scholarship in Quantum Diamond Synthesis, supporting a Linkage Project between Quantum Brilliance, RMIT University and La Trobe Universities. The goal
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about future states of species populations and ecological communities. The project will explore the application of dynamical point process models from probability theory to ecology so as to determine