40 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions in Australia
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to optic nerve degeneration. Our research spans cutting-edge imaging technologies, drug discovery from small molecules to gene therapy, metabolomics, and experimental models ranging from human neurons
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applications of data science and modelling. The successful candidate will support the research of Professor Lucy Marshall, Faculty of Engineering and will collaborate with members of her cross-institutional
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learning at scale. Research directions include designing algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating
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the first of its kind. EarthBank functionalities are continuing to expand beyond its current range of data types, which includes relational data models for major, minor and trace element geochemistry, U-Th-Pb
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 23 hours ago
required. Who You Are (skills and experience): A PhD in chemistry, physics, materials science or a related discipline, and/or relevant work experience. Demonstrated expertise in density functional theory
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-antigens. The successful candidate will employ a broad suite of immunological and molecular tools—such as flow cytometry, cell-culture, single-cell RNA sequencing, data analysis and in vivo models
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; inclusion and diversity; and respect and integrity. We seek a Postdoctoral Research Associate who demonstrates these values and brings: a PhD (or near completion, with thesis submitted) in a relevant
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neuroimaging (particularly functional) is required, and ideally the candidate will have experience in linking imaging methods with cognitive, neurobiological or computational modelling frameworks. Your key
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cellular biology laboratory work, providing scientific support to an NHMRC funded project in a mouse model acute lung injury and a collaborative microbiome project in stool samples collected from patients
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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in