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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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This opportunity is open to students with any science-oriented undergraduate background. Students with a background in physics/astronomy, mathematics/statistics, computer science, or data science are particularly
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Chain Management. Candidates with a bachelor's and master's degree in Operations Research, Applied Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and Information
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Research, Applied Mathematics, Data Science, Computer Science Engineering, Artificial Intelligence, and Information Technology will also be considered, but it will further be required that they also have a
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. At least one degree should be geodesy/surveying, mathematics, physics, engineering or related course. Additionally, the applicant should preferably have experience in: research and programming skills in
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English language requirements. Completion of a bachelor (honours) degree or master degree by research in: civil engineering geotechnical engineering petroleum engineering mechanical engineering applied mathematics
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experimental facilities.Your roleUnder the guidance of your supervisors, you will be expected to:•Design and conduct experiments•Collect and analyse data•Develop mathematical models of excavation energy losses
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Group (HSRG) situated in the School of Electrical Engineering, Computing and Mathematical Sciences (EECMS) at Curtin University, which is equipped with an array of world-class research equipment and
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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