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Status: Opening Applications open: 21/01/2026 Applications close: 4/03/2026 View printable version [.pdf] About this scholarship Description/Applicant information The Peritas Engineering Scholarship
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experience, as well as research labs where partnerships with industry will enable us to maintain leading research facilities. https://www.rmit.edu.au/about/schools-colleges/engineering To Apply Please click
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several international research groups and centres. For further information about our school go to - https://www.unsw.edu.au/engineering/our-schools/chemical-engineering The Particles and Catalysis
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The Department of Transport an Main Roads Women in Engineering (South East Queensland) Bursary | Australia | about 13 hours ago
Entrepreneurship Digital Technology Focus NCWQ Digital Technology Bursary For a female full-time student in a university or TAFE course majoring in Digital Technology. Criteria: Education – Tertiary-Any Year
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scholarship program based at the distinguished Tsinghua University in Beijing, is designed to ensure the next generation of business, political and civil society leaders around the world can effectively serve
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other advanced technologies into teaching. The strong focus on technology led by the School of Computing Technologies will drive the development of new capability platforms and enable the ability for RMIT
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contribute to academic administration, curriculum development, program coordination, and working collaboratively across the Faculty and with external partners. This position will liaise and collaborate with
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, including the demonstrated ability to confidently and effectively work with colleagues in the Master of Clinical Psychology program. Demonstrated ability to meet deadlines, effectively manage varying
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-driven research, which is characterised by a desire to push the limits of understanding. Our research is broad in scope, encompassing a range of fields in science, engineering, health, society, engineering
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electronic engineering and/or applied mathematics, in particular, in one or more areas of learning, control and optimisation of multiagent systems. Experiences in dealing with complex networks and/or variable