354 web-developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions at Monash University
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conflict, Jewish cultural studies and the modern Middle East. The role will support the Jewish Studies and the Holocaust and Genocide Studies minor through the development and delivery of lectures, seminars
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the development of Explainable AI Systems that can provide explanations of AI agent decisions to human users. Past work on plan explanations primarily focused on explaining the correctness and validity of plans. In
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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domestic and international candidates for a fully funded PhD position in Civil Engineering focused on: Development of ultra-low carbon concrete systems Integration of biochar derived from organic waste
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Research Fellow for a 12-month, research-only appointment. A Level A Research Fellow is expected to contribute to the University’s research effort while developing their own research expertise through
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to concentrate on my academics and professional development. My professional path has been greatly influenced by the opportunities it has created for skill development, including networking events and involvement
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: This is an opportunity for an outstanding PhD candidate with a background in architecture, urban design/planning, geography and/or co-design, and an interest in developing innovative new research exploring
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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development and technical stewardship of our enterprise-wide Ellucian ecosystem. This pivotal role sits at the heart of our SMS Transformation (SMS-T) agenda, empowering you to make a tangible impact on the
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning