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addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
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for this role you will need to have experience in the below key accountabilities: • Current knowledge of Federal and State Government policies and regulations related to international education, training and
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Creative arts Design Engineering English language and pathway programs Health Information technology and games Justice Languages Law Mathematics and data science Science Teaching Explore Mid-year entry QUT
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polymer science. Problem solving skills/experience in applied chemistry, mechanical or electrical engineering. For further information, please contact A/Prof. Ken Chiang (E: Ken.Chiang@rmit.edu.au
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outstanding candidates for Master’s by Research or PhD study in all departments, within the Faculty of Engineering. These departments include: ● Chemical Engineering ● Civil Engineering ● Electrical and
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outstanding domestic candidates for Master’s by Research or PhD study in all departments, within the Faculty of Engineering. These departments include: ● Chemical Engineering ● Civil Engineering ● Electrical
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, machine learning, and image processing techniques Strong candidates with electrical, mechanical, and biomedical engineering backgrounds can also apply. To be eligible for this scholarship, you must: Meet
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
Bachelor/Masters degree (or equivalent) in electrical/electronic engineering, nano/microfabrication, physics (optical) or a field related to the desired skills listed below, with a high level of academic
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ceramic fuel cells (PCFCs) have emerged as a forefront electricity generation technology to efficiently convert chemical energy into electricity with zero carbon emissions. In contrast to proton exchange
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(AI) technologies have advanced significantly, current software engineering methodologies remain insufficiently equipped to integrate responsible, reliable, and scalable AI-driven solutions into systems