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, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is not required
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addition, the candidate should ideally possess the following skillset: A strong security background (in cryptography, mathematics, information security, or a related field) Previous industrial experience is
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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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These scholarships are funded by the Australian Research Council (3) and the University of Adelaide (1) to support 4 full-time PhD students who are undertaking research in the field of battery recycling: Project 1 (2 PhD students): Development and optimisation of DES battery recycling process -...
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mathematical integration, with the desired outcome being to increase the water and/or nitrogen use efficiency of Australian cropping systems. We propose to use a range of emerging data science approaches within
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four years. Scholarship Details Maximum number awarded 2 Eligible courses Any HDR students wishing to study in the engineering/mathematics field. Eligibility criteria Local and international students
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview The project will examine emotional processing during Emotion Focused Therapy (Watson & Sharbanee, 2022; Greenberg &...
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. Eligibility criteria We seek a highly motivated PhD student with the following qualifications: A bachelor's or master's degree in computing or mathematics with research experience. Proficiency in programming
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sustainability is defined in the broadest possible sense and is open to applicants from any discipline (including but not exclusive to: engineering, law, mathematics, all the sciences, the social sciences and the
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available at the Centre for Optimisation and Decision Science at Curtin University. The research will focus on developing robust adaptive techniques for solving complex problems in mathematical physics