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any prior research and/or relevant work experience Curriculum Vitae Academic transcript Preferable background and/or previous experience or publications in materials science, modelling (across length
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formation process from biomass. $35,886 $35,886 Applications are now open. Applications are now open. 31/03/2025 31/03/2025 1 (one) 1 (one) Bachelors or master's in chemical engineering, meet English
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Fluorescent colour centres in diamonds are at the heart of many emerging quantum sensing technologies, which are used in applications ranging from biomedicine to defence. This project aims
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or Masters degree in Physics, Material Science or related disciplines, including relevant Engineering qualifications Bachelor or Masters degree in Physics, Material Science or related disciplines, including
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to investigate means of recycling waste heat from sewer systems in the food processing sector. Are you passionate about energy efficiency and developing technology to reduce climate emissions? We are offering a
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Are you an Australian PR, citizen, or an international student in Australia with a 1st class Honours in Chem/Mech Engineering, Physics, or Maths? RMIT Engineering PhD candidates get a laptop, world
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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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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
are interested in nanoparticles of different materials and compositions to compare to our standard biocompatible and non-inflammatory polystyrene nanoparticles in animal vaccine models, as well as their mechanism
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honours in chemical engineering (Bachelors or Masters), Australian resident or international applicant subject to meeting English language requirements Having first class honours in chemical engineering
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The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano