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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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                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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                . 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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                combatting wildlife trafficking and environmental harm. ESSENTIAL MINIMUM CRITERIA PhD in a relevant discipline such as computer science, data science, digital forensics, cyber security or a related field with 
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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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                -to-day meeting routine with the group leader to update on the progresses made in the development of these software tools. Qualifications: PhD in Quantum Physics, good knowledge in the Physics 
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                or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working 
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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