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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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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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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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research environment through collaboration with colleagues and the supervision and mentoring of research assistants and students. The role provides an opportunity to apply advanced statistical methods
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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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qualifications in related fields (e.g., neuroscience) experience in quantitative methods relevant to immune science experience in clinical research with strong data analytic skills with an interest in training in
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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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health service delivery, public health principles and chronic disease prevention and health promotion methods, but also a passion for research, community engagement, and collaborative problem-solving
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, and collaborative development experience with artificial intelligence or machine-learning tools and methods, particularly their application to mathematical research or software development. This may