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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI
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qualify for work in senior academic positions. The start-up date is as soon as possible, preferably no later than December 2025, meaning that the applicant should have already been awarded their PhD degree
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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will need good communication skills, and will be able to work with and disseminate information to both academic and non-academic audiences. You will have a PhD in medical or bio-informatics, epidemiology
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: Regular Time Type: Full time Rate Type: Salary Compensation Statement: The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A
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position at RMIT Vietnam in The Business School, you will need to be able to meet the following research criteria. For candidates with a PhD awarded within the last 3 years (Early Career Academic), although
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sustainable forestry practices. You'll conduct field-based surveys, analyse natural capital values, and perform carbon life-cycle analyses across eastern Victoria's agricultural landscapes. This position offers
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and supervision of research students, primarily at the undergraduate level. You may be a great fit if: You are a dedicated researcher with a PhD in forest ecology or a related field, possessing strong
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, vision, prescription) Flexible spending accounts & wellness programs Professional development & mentorship opportunities To learn more about why UC is a great place to work, please visit our careers page
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2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within