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characterization methodologies, such as Microscopy, and in-situ spectroscopy. Good teamwork that is suitable for a research group that includes a mixture of undergraduate students, graduate students, postdocs and
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Torrens University Australia | Sydney Domestic Airport, New South Wales | Australia | about 17 hours ago
an Agent Torrens University Australia Partnerships Careers with us Be Good Alumni Organisational structure Governance & leadership Quality assurance FAQs Course guides Contact us Apply now 1300 575 803
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proteins, combined with methods such as microscale thermophoresis will also be used to characterise enzyme activity. The postdoc will also co-supervise PhD students and Honours students. Outputs will include
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letter. If you do not receive a scholarship and you have not commenced your studies as per your offer letter, please ask your agent to request a review of your application. If you have applied without
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your admissions offer letter. If you do not receive a scholarship and you have not commenced your studies as per your offer letter, ask your agent to request a review of your application. If you have
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Applying guide Study abroad and exchange Events Ask us a question Agent resources Short courses and professional education Short courses and professional education Bringing together knowledge from across
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University, or an obligation upon a body external to the University, the University, its servants and agents, shall not be liable for that benefit or obligation. Please refer to Glossary of Terms
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GIS-Based Model for Active Citizenry Street-Level Environment Recognition On Moving Resource-Constrained Devices Bayesian Generative AI (PhD Project) Explainability and Compact representation of K-MDPs
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Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator-prey simulations, the evolution of cooperation and altruism, the evolution of niches
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species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data