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This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
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-based health care. High level interpersonal, communication and organisational skills. Ability to contribute to a diverse and collaborative team environment. Commitment to ongoing learning. Level B: PhD in
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, epigenetics, development, and cell biology to lead and contribute to cutting-edge research. To be successful you will need: A PhD in Cell Biology, Molecular Biology, Genetics, Biochemistry, or a related area
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need: A PhD in epidemiology, public health, medical sciences or other areas relevant to primary health care Demonstrated experience contributing to the coordination of quantitative health research
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. Desirable Criteria: Interest in application of research to Defence and Intelligence domains, and collaboration with industry Familiarity with formal mathematical proofs and analytical methods, or numerical
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to contribute to the development of management strategies for these pests. The ideal candidates will have a PhD in agricultural entomology or closely related field and interest in advancing knowledge that will
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of weed populations under farming systems including herbicide resistance and changes in emergence patterns. This role is ideal for a candidate with a PhD in Weed Science, Plant Genetics, or a related
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lines with modulation of protein expression. Experience with cells’ and tissue imaging techniques and methods for image analyses Demonstrated competency in recording, analysing, presenting and
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AIML’s expertise in machine learning research and translation with strengths in Software Engineering for AI (SE4AI) in CSIRO’s Data61. It is positioned to address fundamental responsible Al problems at a
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you will need: A PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including