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for opioid use disorder within clinical trials by the Computational Neuroscience Laboratory and the Addiction and Impulsivity Research Group . This position implements the psychotherapy component of
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to modulate protein translation. This project will use RNA cross-linking technology to understand all of the RNA-mediated control elements that contribute to the system of regulation that links metabolic needs
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totalling approximately $47,000 per annum tax exempt (2025 rate). A four year Project Expense and Development package of $13,000 per annum. A 60 day Industry Engagement component with the industry partner. A
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year scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate) A four year Project Expense and Development package of $13,000 per annum A 60 day Industry Engagement component
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inadequate, lacking the qualitative foresight crucial to Australia’s transition to digital and automated technologies and net zero carbon emissions. This fellowship will innovate new ethnographic methods
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". A number of emerging approaches, such as zero resource and unsupervised NMT, have investigated alternative methods in developing NMT models where sufficient parallel corpora are not available (eg [1,2
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people who discover them The Opportunity An exciting opportunity exists for a Research Assistant to join the Methods in Evidence Synthesis Unit at Monash’s School of Public Health and Preventive Medicine
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overall, with no less than 6.0 in each component How to apply For general instructions on how to apply for roles at Monash, please refer to 'How to apply for Monash Jobs '. To express your interest in
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sources of evidence such as audio, physiological activity and characteristics of the students). This project aims to develop methods for supporting teachers in reflecting on their positioning strategies in
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and