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diseases, preparing them for a career in academic, clinical, or industry-based biomedical research. Student type Future Students Faculties and centres Faculty of Health Sciences Course type Higher Degree by
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store facility for the Health Technology Delivery Team. This role is ideal for someone who is just starting their career and eager to learn. Your responsibilities will include safely moving stock between
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Program (the Scholarship) provides up to 19 months of overseas study, including one or two semester exchange / study abroad, internship, and language training in your choice of destination. Students
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concept of this project lies in the design of novel perovskite materials as both electrolyte and electrodes for facilitating water splitting for hydrogen production. Such new technology is anticipated
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intention to drive better public policy design. Essential Criteria: A doctoral qualification in economics, finance, public policy, social sciences, or other fields relevant to BCEC’s research program or
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Program Application process Step 1: Access online application form Applications are to be submitted using the online application form. Access the form by clicking on the ‘Apply Online’ button on the top
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with Confidence Camp AHEAD Follow the Dream Campus Visit AHEAD Create the Dream UniReady in Schools (*) FIRST Robotics Competition Focus on Mining Program Game Changer Awards Girls Engineering Tomorrow
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the value of the spent battery materials. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type Higher Degree by Research
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to achieve energy and environmental sustainability for Australia. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type
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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
engineering, statistics or computer science Eligibility criteria Must be an Australian Citizen at the time of application Full time enrolment Background in electrical engineering, computational statistics