328 phd-rehabilitation-engineering-computer-science Fellowship positions in Australia
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Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE, etc.). Experience presenting at high
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completion) of a PhD in statistics, data science, computational biology, or a related discipline Strong background in statistics, data science, AI/ML, or bioinformatics Strong computational skills Experience
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field (e.g., Medical Physics, Radiation Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE
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to) the social sciences (e.g., psychology or sociology); urban studies; organisational studies; computational social science; or fire, civil or humanitarian engineering; or equivalent in relevant field. Preferred
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
. Staff and students within the ANU College of Science and Medicine conduct research and deliver a research-led education program that encompasses the breadth of the sciences, supported by extensive
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School of Health and Rehabilitation Sciences / Metro North Health Full-time, fixed-term position for 3 years Base salary will range from $137,542 - $181,934 (Academic Level C or D) + 17
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 9 hours ago
Design, working in close collaboration with the School of Engineering, the Fenner School of Environment and Society, and the ANU Institute for Climate, Energy and Disaster Solutions. Funded by
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organisations, and by the broader offshore engineering industry. About you A PhD (or nearing submission) or equivalent industry experience in geotechnical engineering or a closely related field. Relevant research
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opportunities via the academic promotions process. About You Completed PhD in biotechnology or bioprocess engineering. At least 2 years of experience in biotechnology or bioprocess engineering, preferably focused
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research