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in biomedical engineering, mechanical engineering, or a related field. Experience in finite element modelling, biomechanics, or orthopaedic research is desirable. Strong analytical and problem-solving
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research (including any specific instrumentation, programming, software etc) or relevant work experience Curriculum Vitae academic transcript All applicants should email the following to Dr. Brendan Dyett
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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
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. Applicants must be able to demonstrate strong research and analytical skills Some prior experience with material synthesis and characterisation is desirable Applicants must meet RMIT University's minimum
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) the development of new approaches/protocols toward acid prevention and mine waste management; (c) Cutting-edge chemical analytical and mineral characterisation techniques: solution chemical sensing, mineralogy
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using approved approaches and their properties tested and optimised using advanced analytical techniques. Process tolerance and performance of the novel ingredients will be also examined for relevant food
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under 'Admissions' in PhD (Mathematical Science). Have a Master, first-class Honours or equivalent in one of the disciplines of statistics, mathematics, or data analytics/science. Excellent programming
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methodologies, including quantitative, qualitative, and mixed methods. Innovation: Noble thinking and ability to innovate a new prototype to solve industry gaps in cyber security. Analytical skills: Problem
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compounds, cancer or immunotherapy research. The candidate should be familiar with air-sensitive chemistry and general analytical techniques such as FTIR, NMR, electrochemistry, etc. Desirable criteria
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skills in optics, quantum physics, and condensed matter physics. Secondly, the student will apply these instruments to image and characterise the properties of new nanomaterials, in particular two