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Excellent written and verbal communication skills Analytical thinking and problem-solving capabilities High-level computer literacy and attention to detail Knowledge of the university research environment and
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testing would be an advantage) Rodent optical neuroscience procedures and data management (i.e. fiber photometry) Automated/semi-automated machine learning analyses of rodent behavioural data (e.g
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microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and to formulate and tackle
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sales with ability to rapidly acquire technical product knowledge in relation to university products and services. Demonstrated ability to work autonomously under broad supervision and contribute
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% Superannuation contribution Health and fitness membership options Accommodation and Car Hire discounts Health Insurance and Banking Novated Leasing About the University At the University of Tasmania, we have
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information about behavioural patterns, but scoring this manually is time consuming. For this reason, machine learning solutions have been developed to automate behavioural prediction [5-12]. DeepLabCut [5] is
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 2 months ago
their best work. Why Your Role Matters: The School of Humanities & Social Sciences provides an understanding of how we navigate the world, what we can learn from our past and how we can make a difference going
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part of an organisation that respects and champions Indigenous voices, your journey starts here! Our Commitment UQ is committed to Aboriginal and Torres Strait Islander peoples’ learning, discovery and
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to interact professionally with participants, team members, and external stakeholders attention to detail and accuracy in data collection, entry, and management competence in basic computer applications (e.g
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much