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- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
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appropriate within the classification level as required. About you PhD in a relevant field is required demonstrated understanding of the subject-matter within the discipline experience conducting original
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biological problems; and establish a world-leading research and biotechnology translation environment. The QUT node is headed by Professor Matthew Simpson, Deputy Director MACSYS with QUT Chief Investigators
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to strategic direction of research projects and evidence by producing original, high quality and independent research ability to communicate effectively across a range of forums-accuracy, attention to detail and
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understanding of the key strategic issues in the higher education sector demonstrated understanding of the subject-matter within the discipline experience in conducting original research and/or engaging in
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of Primary Industries (NSW DPI), and Southern Cross University (SCU). The successful candidate will use a combination of mechanistic and data-driven modelling to predict crop yield and crop yield potential
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relevant field demonstrated capacity to communicate effectively across a range of media and forums experience in conducting original research and/or engaging in scholarly activities demonstrated commitment
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will be to: For level A Postdoctoral Research Associate (Research Only) Work closely with the team leader and other chief investigators of the MRFF project To work independently and as part of
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vocalisations in previously collected sound files. The position will operate as part of a wider team working on collecting, annotating, and developing recogniser data, but will have primary responsibility
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an extensive cohort study, with a primary objective of developing novel therapeutic interventions aligning with dietary approaches. Skills/Experience The successful applicant will have a Ph.D. in Supramolecular
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with QUT Chief Investigators Professor Chris Drovandi and Professor Richi Nyak. The four 36-month, fixed-term, full-time appointments will contribute to the success of QUT MACSYS node’s research program