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- $113,262 p.a. (PhD Entry Level - $105,518 p.a.) plus 17% super Conduct high-level experimental research in quantum physical biosciences. Opportunity to work across two leading institutions with potential
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research priorities. You will also have: A PhD in Machine Learning (especially robust and adversarial machine learning), or closely related discipline A record of quality research as evidenced by
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- $113,262 (PhD entry-level $105,518) p.a. plus 17% super An opportunity to contribute to innovative fertility and contraceptive research. Work in a collaborative, interdisciplinary team across diverse
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Awarded Phd in social science related to agriculture, environmental science or cultural and natural resource management. Demonstrated experience in working with stakeholders such as farmers, farm advisors
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students. Contribute to Grant Applications: Support the preparation of research proposals for internal and external funding bodies. You may be a great fit if: You have a PhD (or are near completion) in
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submissions to external funding bodies. You may be a great fit if: You are a talented researcher with a PhD (or near completion) in random matrix theory or a related area, with a strong publication track record
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may also: Hold a PhD in paleoecology, palynology, environmental science, or a related field. Have strong skills in statistical analysis of paleoecological time series data. Possess experience engaging
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abilities, working independently to manage tasks and meet project objectives in a fast-paced environment. You will also have: A postgraduate research degree at PhD level (or near completion) in analytical
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strong organisational abilities, working independently to manage data, prioritise tasks, and meet project objectives in a fast-paced environment. You will also have: A postgraduate research degree at PhD
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team, as well as work collaboratively with several large teams with expertise in metabolomics, immunology and high through-put screening. You will also have: A PhD degree or related experience in