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Postdoctoral Research Fellow: Computational Methods for Fluid-Granular Flows Job No.: 690226 Location: Clayton campus Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration
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molecular crystals. Undertake molecular synthesis, crystal growth and advanced characterisation, develop and implement diffraction methods, including at major facilities, and communicate findings through high
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datasets to generate meaningful evidence that informs research, policy and practice. Collaborating with multidisciplinary teams, investigators and key stakeholders, you will apply advanced analytical methods
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communities. Working alongside leading researchers in a supportive, inclusive and innovative environment, you will play a key role in advancing high-quality mixed-methods research, fostering meaningful
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Research Associate / Magma Research Fellows who have: a PhD in mathematics, computer science, or a related discipline a strong background in computational mathematics, computer algebra, or mathematical
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funding, apply rigorous quantitative and qualitative methods, and translate evidence to inform policy and practice. Teaching: Develop and deliver undergraduate and postgraduate teaching across different
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the preparation of grant and fellowship applications (institutional, national, and/or international schemes). About you a PhD in an academic field relevant to immune science or other higher professional
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Alliance for Agriculture and Food Innovation, you will develop and apply advanced quantitative genetics methods to improve genomic prediction of complex traits in soybean. As part of the UQ-led ARC Training
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delivery, public health principles and chronic disease prevention and health promotion methods, but also a passion for research, community engagement, and collaborative problem-solving. Experience in, and a
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record and demonstrated research leadership. We welcome applications from outstanding recent PhD graduates as well as candidates with postdoctoral experience who are seeking to establish or further develop