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Field
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, processes & target operating model) to manage individual prospects throughout their UNSW experience, from the moment of anonymous engagement up until enrolment into a program. About the Role: As the Change
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regression techniques. Develop and validate predictive models to identify factors associated with key mental health outcomes. Experience working with a range of computer systems and applications (such as R
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and capability-building programs that address community development, human development, and social impact. Develop and formalize program documentations: Program Brief, Logic Model, Impact KPI Framework
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representations complicate transparency and compliance checks with data protection and privacy legislation (e.g., GDPR) whether performed by humans or computer systems. Second, both privacy-preserving distributed
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pathways, market volatility, carbon-pricing impacts and co-product valorisation within circular-economy models. Your insights will directly inform real-world decision-making, guiding industry partners and
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, and a commitment to delivering high-quality outcomes. A PhD (or near completion) in Computational Biology, Chemistry, Biochemistry, Pharmacology, or a related field. Experience in molecular modelling
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The world is dynamic, in constant flux. However, machine learning typically learns static models from historical data. As the world changes, these models decline in performance, sometimes
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nationally recognised research profile, with emerging international recognition, in areas such as computational geomechanics, offshore geotechnics and soil–structure interaction modelling Proven experience
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program led by the Marketing & Digital Experience area, but also involves significant technical components related to the deployment of a customer data platform (CDP), a Sales CRM, Master Data Management
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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