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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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learning frameworks previous experience in natural language processing, sound-based machine learning, development and deployment of health technology software . interest and previous experience in
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. IT literacy and ability to use software such as Excel Desirable Criteria 1. Postgraduate degree at PhD level in a related subject area 2. Evidence of collaborations with industry 3. Proven ability
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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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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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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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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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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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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