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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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provided throughout the recruitment process. To be successful you will need Postgraduate qualification relevant to research (Level A); PhD preferred (Level B) Experience implementing data collection and
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– $113,262 p.a. plus 17% super (PhD entry level $105,518 p.a.) Join a cross-disciplinary team investigating the relationship between bacteria and dinoflagellate algae, critical to coral reef health Work across
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Indigenous Principal Research Fellowship for four years and salary commencing between Academic level D1-D4 (depending on experience) $40,000, per annum, research support funding for four years One PhD
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for uncertainty quantification in learned computer vision. The person should have a PhD in Computer Vision or a closely related field, and a demonstrated strong track record in this field. This should include
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– $113,262 p.a. plus 17% super (PhD entry level $105,518 p.a.) Join a cross-disciplinary team investigating the relationship between bacteria and dinoflagellate algae, critical to coral reef health Work across
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- $116,094 p.a plus 17% super (PhD entry Level - $108,156 p.a.) Join a cross-disciplinary team investigating the relationship between bacteria and dinoflagellate algae, critical to coral reef health Work
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supporting a diverse range of imaging and analytical instrument platforms. About the opportunity Elaborate new methodologies applied to critical mineral research with a focus on REE and Li Identify efficient
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the recruitment process. To Be Successful You Will Need Level ARAS Relevant tertiary qualifications and demonstrated experience in transcriptomic data analysis and relevant methodologies (e.g. RNA-seq, clustering
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developing and implementing algorithms for processing, imaging or inversion of seismic data, preferably using MATLAB and/or Python. Experience or demonstrated ability in processing and analysis of surface