589 computer-science-programming-languages-"Prof"-"Prof"-"Prof.-Dr" positions at Monash University in Australia
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into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has
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given to students specialising in Electrical and Computer Systems Engineering. Benefits $10,000 per annum for up to two years. Number offered Two scholarships available at any time. Selection criteria
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temporal data. See my time series research for more details of the research program on which this research will build. Required knowledge A solid grounding in machine learning Project funding Project based
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imaging centres in Australia, hosting many cutting-edge imaging equipment for biomedical imaging research. The Department of Data Science and AI, Faculty of IT is home to many world class research programs
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Casual Customer Service Officer (Monash Sport – Clayton) Job No.: 684670 Location: Clayton Employment Type: Casual Duration: 16 week appointment Remuneration: $43.51 per hour, HEW Level 03 Casual loaded rate Make a positive impact on our community wellbeing Join our welcoming, inclusive and...
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destinations for marketing education and research, offering a dynamic range of undergraduate and postgraduate programs. Ranked #36 globally in the 2025 QS World University Rankings by Subject, we foster strong
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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requirements ; and meet Monash English language proficiency requirements . This scholarship is also available to students undertaking Joint Research Awards when Monash University is the home institution
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medicinal chemistry will be highly regarded. About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something groundbreaking – a place where great things
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fundamental research questions that are in the core of overcoming the optimiser’s curse will be studied. Namely: 1. How can we robustly plan with respect to the predictions errors (i.e., interpolation and