322 data "https:" "https:" "https:" "https:" "Inserm" "LaTIM Brest" positions at Monash University
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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lifecycle activities, including governance, data reporting, publications and quality assurance, all while ensuring compliance with university standards. With a focus on curriculum data management, you will
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resource for individuals seeking assistance, information, and guidance related to addiction and mental health concerns. The helplines at Turning Point are staffed by trained professionals who offer
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combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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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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responsible for coordinating participant registrations, managing session logistics, supporting stakeholder communications and maintaining accurate program data, while building strong working relationships with
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of Computer Science in Data Science (Honours) Anban Raj Thank you will never suffice to express my gratitude to the Ng Family for believing in my potential and enabling me to access a world-class education. I will
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Despite the popularity of providing text analysis as a service by high-tech companies, it is still challenging to develop and deploy NLP applications involving sensitive and demographic information
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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