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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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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role
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more novel problems. Keywords include: automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, inverse
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technologies are critical enabling components for a wide range of QT based applications including quantum sensing, timing and computing To achieve this your role will involve developing inverse methods and
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Job Reference: 812682 About the Role: In this role, you will contribute to several collaborative projects between Curtin University, industry and research partners. You will primarily contribute
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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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12th August 2025 Languages English English Norsk Nynorsk English Postdoctoral Research Fellow at the Department of Global Public Health and Primary Care Apply for this job See advertisement UiB
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Postdoctoral Research Fellow at the Department of Global Public Health and Primary Care Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction
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1st September 2025 Languages English English English PhD Research Fellow in Mathematical Modelling of Surface Water Flow Apply for this job See advertisement This is Western Norway University of