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doctoral qualification (or equivalent experience) in a relevant discipline Strong quantitative analysis skills (R, Stata, or SPSS), with a track record of research outputs Experience in health services
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bring demonstrated analytical skills, a track record of peer-reviewed publications and experience in data extraction for systematic reviews or meta-analyses. Strong proficiency with software tools such as
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for the prediction task, such as predicting the bioassay of a given chemical network. One of the approaches that will be considered will be the Bayesian information-theoretic Minimum Message Length (MML) principle
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demonstrate strong statistical analysis and manuscript preparation skills, a strong track record of refereed publications, and a demonstrated trajectory of leadership capability. You should be able to work
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with legislative requirements and university objectives. Provide leadership to Workplace Relations staff, fostering professional growth and effective dispute resolution. Provide workplace relations
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back at least as far as 1954 (Dowe, 2008a, sec. 1, pp549-550). Discussion of how to do this using the Bayesian information-theoretic minimum message length (MML) approach (Wallace and Boulton, 1968
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Methods of balancing model complexity with goodness of fit include Akaike's information criterion (AIC), Schwarz's Bayesian information criterion (BIC), minimum description length (MDL) and minimum
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with clear deliverables and success metrics. Prepare comprehensive reports and presentations for senior management. Network and liaise with stakeholders to support project objectives. Identify and
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ICU care globally. About You You have a background in clinical or health research and a proven track record in project delivery. You thrive in complex, fast-paced environments and love working with
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The Opportunity We are seeking two Senior Business Analysts to drive strategic business analysis solutions that support the University’s objectives. This role focuses on identifying business improvement