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units in neural networks, which drive both artificial and natural intelligence. Current projects span a wide range of topics in deep learning theory and theoretical neuroscience. For more information and
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: - prepare the requirements specification for a software module that allows the use of pre-trained large language models (Large Language Model); - containerization and availability of trained models
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materials, circular economy, renewable resources, and engineering innovation. Sustainable Society: climate resilience, behavioural science, adaptive governance, and equitable pathways to net zero. As our
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to groundbreaking discoveries, building a network of influential peers and mentors, and positioning yourself to shape the future of science, technology, and national security. Leadership Development In
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coordination to ensure the application integrates seamlessly into existing workflows. It involves collaborating with a wide range of stakeholders—including radiologists, IT teams, software developers
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practices in the fields of biology. Principles, techniques and terminology used in cancer biology. Methods of scientific research and relevant scientific theories. Appropriate computer operations, software
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biodiversity. Focusing on Australia’s native marine vertebrates and regional marine ecosystems, we integrate advanced genomics infrastructure, specialist expertise, and strong collaborative networks to generate
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to support a range of tasks that help to fulfil the grant. These include: using referencing software to update manuscript references, cleaning or inputting data, preparing surveys on Qualtrics, liaising with
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Strong quantitative background Experience with programming languages (e.g. MATLAB or Python) Experience with statistical software (e.g. R or Stata) Ability to work across broad scientific missions and
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proficient with statistical software such as STATA or R Familiar in working with large datasets for statistical analysis Good track record in publishing in related, peer-reviewed journals Demonstrate good