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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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the Faculty of Science. We will apply Bayesian approaches such as the information-theoretic minimum message length (MML) principle and other approaches to develop a path towards statistically-optimal algorithms
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physics, quantum engineering, or related area. Demonstrated track record of operating and measuring nano-mechanical devices that display quantum behaviour. Demonstrated track record of designing and
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. Among the approaches used will be the Bayesian information-theoretic Minimum Message Length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) References: Wallace, C.S
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and contribute directly to NASA’s space exploration missions- tracking spacecraft, supporting science, and helping unlock the secrets of our solar system and beyond. Your duties will include: As a
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used will the information-theoretic Bayesian minimum message length (MML) principle. Student cohort PhD, possibly Master’s (Minor Thesis) or Honours URLs/references Chen, Li and Gao, Jiti and Vahid
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qualifications and/or extensive experience in a technical, administrative, or philanthropic setting. A strong track record of achieving ambitious financial targets, ideally at the 6-figure level in a complex
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the collaborative process inherent to an agile working environment, utilising version control, test-first development, issue tracking, and wikis to ensure high-quality project outcomes. Additionally, your role
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-class degree with a strong research track record and publication history in relevant areas. Demonstrable experience in conducting independent research project in deep learning, computer vision, image
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or government sectors. Experience managing project budgets and financial tracking in research or stakeholder-focused environments (desirable) Understanding of coastal science policy and research issues in Western