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29 Jul 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Economics Mathematics Environmental science Geosciences Researcher Profile Recognised Researcher
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valuable for producing reliable climate projections, whether certain weather systems are fundamentally harder to model with machine learning than others, and whether we can develop emulators that can be
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or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and
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datasets. Statistics and mathematics Strong grounding in multivariate statistics, dimensionality reduction, and latent variable modeling. Experience with temporal or dynamical modeling, Bayesian inference
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requirements, is provided below and in the links. Project descriptions Project 1: Predictive Bayesian inference and foundation models Employment: University of Oslo, Department of Mathematics PhD programme
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programme: University of Oslo, Faculty of Mathematics and Natural Sciences Starting date: preferably in 2026, by agreement Project 5: Models and dynamics of machine reasoning Employment: UiT - The Arctic
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, mathematical modeling, optimization, and scientific computing. Experience in computational imaging, inverse problem solving, machine learning, or artificial intelligence is highly desirable. Excellent
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data collection with quantitative statistical and modeling analyses and are collaborations with natural resource managers, veterinarians, and academics. You will learn to develop and conduct research
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approach of microbiology, biochemistry, molecular biology, multi-omics and mathematical modelling to understanding the role of metabolic pathways in the virulence and antimicrobial susceptibility
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epidemiology using mathematical, computational, and statistical modeling. We are seeking researchers who are passionate about understanding the mechanisms driving epidemic spread, designing mathematical models