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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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platform for tutoring for English, maths and other subjects. Their lesson design and teaching pedagogy have been developed in consultations with teachers, principals, university lecturers, educational
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-preserving trustworthy distributed machine learning. In this research, the successful candidates will focus on mathematical backgrounds involved in differential privacy to devise novel scalable approaches
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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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open to applicants from any discipline (including but not exclusive to: engineering, law, mathematics, all the sciences, the social sciences and the arts) as long as the research has the potential
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the field of robotics the application must be able to demonstrate that you are from an under-represented minority group in the fields of science, technology, engineering or mathematics. This may include
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@rmit.edu.au Please send your CV to akram.hourani@rmit.edu.au Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization, or multi-agent
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, functionalising, and characterising nanoparticles for targeted delivery in the human body. Responsibilities also include in vitro cellular testing, data analysis from cytotoxicity and bioavailability studies, and
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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This opportunity is open to students with any science-oriented undergraduate background. Students with a background in physics/astronomy, mathematics/statistics, computer science, or data science are particularly