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developing new inverse modelling (‘retrieval’) methods to extract 3D information from JWST secondary eclipse observations. The models will be applied to JWST observations of giant transiting exoplanets
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studies, and computational modelling. They will have the opportunity to visit and work closely with our HFSP partners in Canada (Professor Alastair Simpson) and Denmark (Professor Thomas Kiørboe
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
UiO/Anders Lien 25th August 2025 Languages English English English PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys Apply for this job See
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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students. SPS is responsible for the research training of over 120 PhD students. SPS is research intensive with internationally recognized expertise in Human Factors, Mathematical Psychology, Industrial and
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guidance to PhD candidates within the discipline when necessary. Contribute to the development of novel models, techniques, and methodologies. Engage in administrative duties within the university
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set-up, and data collection and analysis. - Have the ability to analyse and interpret data using appropriate statistical packages (e.g., conducting linear mixed effects models in R). - Have experience
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a strong background in measurement theory and statistics, demonstrating mastery in structural equation modeling and item response theory methods. As a key member of our research team, the successful
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(Academic Level A) Visa sponsorship may be available for this position Based at our St Lucia Campus - Brisbane About This Opportunity If you are passionate about computational modelling, thrive on solving