282 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"J.-F" positions at Monash University in Australia
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, and their decisions can be confusing due to brittleness, there is a critical need to understand their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug
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area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
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. MNM is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. For more information, visit: www.monash.edu/medicine/nursing If you are committed
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The Opportunity Join Monash University's dynamic IT Service Centres, where we deliver frontline ICT support to staff and students across multiple campuses. As part of the Office of the Chief Information Officer
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, data management and coordination support to keep the UCAT ANZ program running efficiently. The position oversees processes across candidate results, research databases, committee activities, financial
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project from initiation through to implementation • Support trial governance, ethics, regulatory compliance and reporting requirements • Coordinate data capture processes, protocols, logistics and site
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quantitative disciplines such as data science, mathematical statistics, actuarial science or public health or psychology with strong statistical training. You can check your eligibility with the PhD readiness
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preparing ethics applications, to engaging with stakeholders and collecting data through surveys and naturalistic driving studies, your work will be integral to shaping safer communities. What you’ll do
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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, presentations, committees, funders and community groups • Provide expertise in governance, compliance, reporting and process improvement • Maintain oversight of confidential and sensitive research information