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to discover new inhibitors. You will work with 3 world leading teams. You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding
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than has previously been possible. Objectives The PhD candidate will work with the supervision team to determine the scope of the project, thus there is freedom to craft it to fit the candidates
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projects can be tailored to the meet the interests and talents of individual students. The spatial clustering of nearby galaxies The truncation of star formation in galaxies Radio continuum from galaxies
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) of complex data Evidence of peer-reviewed publications within the behavioural sciences Work experience within Defence settings (e.g., researcher, practitioner) Demonstrated capacity to work independently and
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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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chemical engineering ( Bachelours or Masters), Be an Australian resident or citizen or meet English requirements of the University Have a first-class honor in chemical engineering ( Bachelours or Masters
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resources and researchers who work with industry and Government to address the sustainability and liveability issues facing global communities. PhD students in our Joint Doctoral Degree Program will have
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can occur that are very different to the macroscopic world. Our group develops methods to measure and ‘see’ this atomic detail using some of the world’s most powerful electron microscopes. We apply
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Duration of Award: See scholarship details Level of study: Research Study Area: Veterinary Science Eligibility How to Apply Eligibility The applicant must meet Murdoch University Admission requirements
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with Masters or Honours degrees in the following disciplines, or with equivalent research or work experience will be favourably considered: Data Science; Applied Mathematics; Agricultural