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candidate will gain intensive knowledge in innovative processing protocols for complex mineral processing, mineral leaching process, and mining site environmental science through hands-on experiments as
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of: biosciences and food technology applied chemistry and environmental science physics mathematical sciences geospatial sciences To Apply Please submit your CV, cover letter and response to the Key Selection
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within the Applied Chemistry and Environmental Science discipline in the School of Science. PhD Scholarship for a chemistry, materials or chemical engineering student looking to apply their skills in
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: Aerospace Engineering & Aviation; Chemical & Environmental Engineering; Civil & Infrastructure Engineering; Electrical & Biomedical Engineering; Electronic & Telecommunication Engineering; Manufacturing
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to electrochemistry. This position is based in Applied Chemistry and Environmental Science in the School of Science at RMIT University and will collaborate widely with national and international investigators involved
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Vocational Education and Training including the global environmental challenges and the importance of research, innovation, and education. Strong experience in collaborating with senior executives in a
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into impact for our partners and the wider community. In April 2024, the School will transition to the following Departments: • Aerospace Engineering • Biomedical Engineering • Chemical and Environmental
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• Biomedical Engineering • Chemical and Environmental Engineering • Civil and Infrastructure Engineering • Electrical and Electronic Engineering • Mechanical, Manufacturing and Mechatronics Engineering This
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, Sustainability. Key Selection Criteria Bachelor’s degree preferably in Environmental Management, Business Management, Digital Marketing, Project Management, or any equivalent. Minimum 02- year experience in
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breadth of computer/spatial/data science knowledge across a range of applied disciplines with a focus on the development of new cycling and environmental data sets and applied computational geospatial data