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applicant (Selection Criteria) To be successful in this role you will have: A PhD in Chemistry, Biotechnology, Nanotechnology, or a related discipline. Strong prior experience in DNA nanoscience and/or DNA
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, you’ll have: Associate Research Fellow: Master’s degree in Biostatistics or Statistics; alternatively, a PhD in Epidemiology with strong quantitative component. Research Fellow: A PhD in Biostatistics or
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-term appointment through to 30 June 2027 This position will be directly involved in the delivery of the research projects funded by the NCYSUR through the Australian Government, Drug and Alcohol Program
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to global conservation science. To be successful you will need: A PhD in quantitative ecology, quantitative conservation biology, applied mathematics or a related Discipline Publication record in the relevant
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You For Level A Applicants will have completed or be near completion of a PhD in quantitative genetics, animal breeding, computational biology, or a related field. Additionally, you will demonstrate
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
independent research in molecular biology and biophysics, focusing on computational simulations to examine protein structure and function. This includes using advanced sampling methods and free
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approach. You’re confident working independently while building positive relationships. About the role Reporting to the Professor of the Learning Sciences, you will contribute to UniSA Education Futures
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(for Research Fellow) or equivalent experience in bioinformatics, computational biology, statistics, genetics or a related field Demonstrated experience in transcriptomic data analysis and relevant bioinformatic
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working across numerous professions (see the full list of available roles here . We are a recipient of the bronze award through the Science in Australia Gender Equity (SAGE) program and a platinum member of
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. Barron (Biological Sciences), Emer. Prof. Griffiths (Philosophy) and collaborators to develop a unifying framework between evolutionary transitions in individuality (ETIs) and major transitions in