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Field
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future technology upgrades Participate in initiatives aimed at enhancing CoNiC’s infrastructure and research productivity through acquisition of advanced hardware and software tools Undertake any other
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other duties relevant to the programme of research. Job Requirements: PhD degree or at least 8 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent
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Engineering, Data Science and AI theory and practice, ensuring their co-evolution and competent adoption across disciplines to enable transformative, interdisciplinary, impactful data-intensive research
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, Information Science, Software Engineering, Data Science and Business Analytics. At the postgraduate level, we offer research master’s and PhD opportunities – including specialist taught masters in Artificial
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that the candidate will acquire from the PhD project, including positions that entail software development, engineering or consulting for the energy or process industry, and academia. The career promoting work will
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Job no:516982 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307 per annum plus an employer
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deployment of health technology software It is also beneficial if the applicant has an interest and previous experience in collaboration with inter-disciplinary or industrial collaborations. Candidates with
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. To be successful you will need: PhD in Educational Technology (in the final stages), or equivalent qualification Emerging record of research excellence in educational technology with recent high-quality
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market for personnel with the knowledge and skills that the candidate will acquire from the PhD project, including positions that entail software development, engineering or consulting for the energy or
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development of the National Facility for Ultra-High Field (11.7T) human MRI/S at the University of Nottingham. We are looking to recruit MR physicists and biomedical engineers, or equivalent, enthusiastic