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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
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, infer arbitrarily closely to any model underlying data. We endeavour to do the following: Apply MML to test datasets (degenerate motifs of 6-12 base pairs and with 1 to 2 variable nucleotides) Apply MML
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networks and/or probabilistic graphical models; computer vision such as re-identification and/or tracking. Good publication record in Q1 machine learning and/or computer vision conferences and/or Q1 medical
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research program advancing carbon-neutral energy systems modelling for Australia's energy transition. This role focuses on the development and application of advanced forecasting and scenario analysis
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Centre for Health Economics, Monash Business School, PhD Program 2026 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
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will include, but are not limited to: Research: Undertake the development and application of computational fluid dynamics (CFD), data-driven and mechanistic models for wastewater treatment processes
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the Learning Enhancement Team. This includes data extraction, cleaning and analysis; student load modelling; plan, program and curriculum learning visualisation and analysis; thematic analysis of student
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expertise in advanced econometric techniques, data modelling, and statistical analysis. The Master of Applied Econometrics program combines rigorous coursework with hands-on experience, equipping you with
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opportunity The University of Sydney is seeking a Postdoctoral Research Associate/Fellow to join a flagship, industry-funded research program advancing carbon-neutral energy systems modelling for Australia’s
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Drive cutting-edge AI research in traffic video analytics, developing and deploying state-of-the-art computer vision models for real-world impact. Full-time appointment on a fixed term basis for two