397 evolution "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" Postdoctoral positions in United Kingdom
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a Sustainable Future . Read more about working at Aalto: https://www.aalto.fi/en/careers-at-aalto and check out our new virtual campus experience: https://virtualtour.aalto.fi About Finland Finland
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Applications are invited for the position of Post-Doctoral Research Associate to work on an ESRC-funded project investigating asylum accommodation in England (https://peripheral-asylum.com
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on the development and analysis of continuous and discrete models in connection with convex and nonconvex optimization problems and monotone inclusion systems. Our ideal candidate already has experience with modern
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Applications are invited for a Postdoctoral Research Assistant in Galaxy evolution with MIGHTEE and the new spectroscopic surveys with 4MOST and MOONS. This is a 2-year postdoctoral position funded
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for the position of Post-Doctoral Research Associate to work on an ESRC-funded project investigating asylum accommodation in England (https://peripheral-asylum.com/ ). The project examines the evolution
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experiments in gelatine (https://doi.org/10.5194/egusphere-egu25-9211). This model will be tested with analogue experiment results from the MAGMA Lab, run by other members of the project team. The second
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support the research and development of a new generation of light source based on gas-filled hollow fibers. Despite the rise of novel nonlinear materials, the generation, control and application of light
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information: Interviews are planned for 16th of March 2026. For further information and details of how to apply, please visit our website http://jobs.jic.ac.uk or contact the Human Resources team on 01603
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each of the selection criteria found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions
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Postdoctoral Researcher in ML for Dynamical Systems Representation, Prediction, and State-estimation
systems as well as towards designing observer-based state estimators from output timeseries data measurements. The research also involves development of uncertainty quantification techniques for the learnt