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collection methods. You’re skilled in developing computational models and deep neural networks that reflect principles of human cognition and brain function. Your academic record includes high-quality peer
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frameworks, such as PyTorch (preferred) or TensorFlow, with a preference for experience implementing SOTA models and training procedures from academic journal papers. Development of data engineering pipelines
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origami synthesis and characterisation. Previous experience with non-academic and industry projects is desirable. Demonstrated expertise in supramolecular chemistry, computational modelling, and/or
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SRH’s Program 1 (Process Integration and Sustainability) and undertake a new research activity under Project 1.2.4 – Numerical Modelling of Electric Smelting Furnace Phenomena: Melting of Direct Reduced
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tools to tackle some of the most complex questions in brain science. As a Level A research-only academic, you will contribute to projects that integrate computational models with experimental neuroimaging
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of transitions in both domains. The successful candidate will be expected to develop testable hypotheses that can be applied to new model systems, such as bee colonies, in collaboration with the project team
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candidate will be expected to develop testable hypotheses that can be applied to new model systems, such as bee colonies, in collaboration with the project team. The research will be conducted in close
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures
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broad range of contemporary health-care related issues including: • Health Services Innovation • Integrated Care Models • Health Workforce Development • Symptom Management. What you need to succeed
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the project titled “Fine Tuned Biometric Models for Warfighters in Austere Settings”, funded by the Office of Naval Research Global (ONRG). The Path to Adelaide University We are on an exciting path to Adelaide