362 web-development-"https:"-"https:"-"https:"-"Linnaeus-University" positions at Monash University
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Fellows to join a major program (>$20M) funded by the Advanced Research Projects Agency for Health (ARPA-H). This ambitious program focuses on lymphatic pathophysiology and the development of innovative
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, professionalism and attention to detail. We are seeking someone with strong administrative and project coordination skills and the ability to support the delivery of strategic initiatives. Well-developed
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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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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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. You’ll ensure project deliverables are met on time and to a high standard. Working closely with the Group Manager Research and Graduate Research, you will develop project documentation, updates and reports
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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
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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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Minimum Message Length (MML) is an elegant information-theoretic framework for statistical inference and model selection developed by Chris Wallace and colleagues. The fundamental insight of MML is
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or academia in an under-developed domain. You will, therefore, need to have an honours degree or Masters in psychology or a related social science field (e.g., business studies, criminology, sociology
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model with each SNP independently, perhaps adjusting for other covariates such as age and sex. This project will focus on developing and applying novel machine learning and AI methods to improve