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scholarship available. Must have an Honours or Master's degree in biomedical sciences. Must have an Honours or Master's degree in biomedical sciences. Please contact guiying.nie@rmit.edu.au . Please contact
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process. Ideal Candidate: Background in biomedical engineering, mechanical engineering, or a related field. Experience in finite element modelling, biomechanics, or orthopaedic research is desirable. Strong
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physics, chemistry or related engineering disciplines are encouraged to apply. To be eligible for this scholarship you must: have a first-class honours or equivalent in physics, chemistry, or related
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, applied maths, physics, chemistry, computer science, computational modelling, earth science or similar. Strong programming skills. Experience in making gas flux measurements Excellent project management
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. Degree and/or knowledge of core chemical engineering disciplines such as reaction engineering, kinetic and process simulation. Excellent written and verbal communication skills. Problem-solving experience
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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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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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scholarship is available. One scholarship is available. Eligibility requirements: have a first-class Honours or Master's or equivalent degree in a relevant discipline of engineering/science be an Australian
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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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. One (1). One (1). Highly motivated and an entrepreneurial spirit Masters or Honours degrees in computer science or engineering Strong computer science skills and some experience with statistical