300 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Monash University in Australia
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domain experts’ beliefs about the relationships among variables that can be used to describe them. The BN structure, the probability distributions and parameters it is built from, can be derived from data
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in an area where they can demonstrate impact. The work of the Research Fellow will align with one or more of the Turner Institute’s 6 programmatic research areas, more information can be found here
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Director, Opportunity Tech Lab; Chair of the Steering Committee, Monash Business Behavioural Laboratory) Dr Mor Vered (Department of Data Science & AI, Faculty of IT) Dr Estelle Wallingford (Department
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independence, judgment and initiative, and using your strong interpersonal and communication skills to convey complex information clearly, provide expert advice, and engage others effectively. About Monash
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. International candidates can click here for additional information. This role shapes the future of MARP’s veterinary care, scientific services and training programs, creating a workforce that is highly skilled
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detector systems to deliver new information about beam-sensitive materials and time-dependent phenomena in condensed matter physics. See position description for full details. This research fellowship will
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operating in customised modes to deliver new information about key functional materials. Please see the Level A and Level B position descriptions below for full details. This research fellowship will be part
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This PhD project will explore how individuals in a marginalised community in Australia access, create, and manage information and their preferences for oral, written or digital tools to preserve
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financial, personal, and confidential information. This project seeks to introduce machine learning and artificial intelligence techniques to effectively detect phishing websites. By leveraging these advanced
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A recommender system is a subclass of information filtering/retrieval system that provides suggestions for items that are most pertinent to a particular user without an explicit query. Recommender