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Modernisation Program (FMP). The role is crucial to the driving the modernisation of the legacy Finance ERP solution. The role is required to build strong partnerships with stakeholders and colleagues to support
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program, leading to joint PhDs with degrees from both universities. Applications are sought from outstanding candidates with backgrounds in chemistry, physics, materials science and related disciplines
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qualifications or progress towards postgraduate qualifications in Computer Science, Physics, Engineering (Aerospace, Computer Systems, Electrical, Mechatronics, Mechanical) or related discipline and extensive
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tier conferences and journals in data mining/machine learning, Artificial Intelligence in Education and Educational Data Mining, Human-Computer Interaction strong technical expertise in data mining, data
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) An interest in AI/ML and multi-omics integration. Solid background in statistical genetics and computational biology; experience with R, Python, or equivalent programming languages is essential. Passion
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relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines. 2/ Minimum 3 years of teaching experience in English-speaking universities. 3
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advanced skills in data analysis, data management, reporting, and understanding of scripting or programming languages is desirable excellent communication, problem solving, and time management skills with
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relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines. 2/ Minimum 3 years of teaching experience in English-speaking universities. 3
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current education suite includes courses in clinical science, physiotherapy, chiropractic, medicine and public health, psychology, linguistics, audiology, and speech pathology. The Faculty forms part of MU
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strengthening research capabilities in the region. The candidate will be part of the WAARC Postgraduate Cohort and supported through WAARC’s Postgraduate Research Scholarship Program. The candidate will work