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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
play a key role in the design, development, evaluation, and implementation of an innovative online interactive training course that supports the Volunteer Dementia and Delirium Care Program. This MRFF
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including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process. About You Completion of a PhD in the fields of geography
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
to research as part of our academic team. Ideal Candidate The ideal candidate will hold a PhD in a field relevant to Investing in Women’s priorities and have a strong track record of independent research
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A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area of soil science, such as soil condition and function assessment, pedometrics
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PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong
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software (Prism, Origin Pro, Matlab etc) A good understanding of appropriate statistical analysis techniques Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to
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to The Circle Back Initiative program, whereby we will respond to every applicant. If you are experiencing technical difficulties with your application, please email the Recruitment team or phone 03 5327 9756
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- delivering a broad range of programs in Business, ranging from Certificates up to PHD levels. Many programs articulate between Vocational Education and Higher Education, creating pathways for further study
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to lead to improved predictive design of biomass crops for the production of sustainable aviation fuel. The postdoc will also co-supervise PhD students and Honours students. To be successful you will need
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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film