685 postdoctoral-image-processing-in-computer-science positions at Monash University in Australia
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, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in
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challenges. We are seeking a highly motivated Research Fellow to join our team and conduct collaborative research on weather processes related to precipitation and water resources. This position offers
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We are excited to offer a fully funded PhD position at the Faculty of Engineering, Monash University (Australia). This project focuses on developing new algorithms to equip social robots with
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Australia. The scholarship was created in honour of Ric (Frederic) Bouvier who was an icon in the evolution of ambulance services and the paramedic profession in Australia. Total scholarship value $10,000
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display excellent data analysis skills, have an eye for detail, and a desire to lead a change through process innovation. Your responsibilities will include budgeting, planning, modelling, forecasting
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This PhD project is part of a larger project that aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the...
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This project will develop general cutting edge generative AI and natural language processing methods to advance AI-augmented human-in-the-loop coaching and associated training planning and outcome
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to support the establishment of a governance framework within the CFO Portfolio. Further, you will identify opportunities to support the improvement, standardisation and uplift of a range of processes
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There is an opportunity to prototype digital water play systems and examine users’ aquatic body-environment interactions to derive an understanding of digital technology’s opportunities
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Advisory System, or data from other implantable or wearable devices. This involves consideration of both feature-based machine learning or data science approaches and neural mass parameter estimation