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, Machine Learning, or Smart Energy Publication record in peer-reviewed journals or conferences, commensurate with stage of career Good programming skills in Python, R, Java, or Matlab Experience
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interest in computational chemistry. Familiarity with software development (Python, git) and supramolecular would be an advantage. Please note this post is subject to Dstl security clearances. Funding Notes
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Applications are invited for a Research Associate in Climate Change and Computational Modelling. This is a postdoctoral-level appointment, but applicants within a few months of submitting their PhD
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Processing group, working with a postdoctoral researcher to be recruited for the ThinCat project and researchers to be recruited for European Research Council’s Starting Grant project that uses ALD
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, mechatronics, robotics, or applied physics Additive manufacturing / 3D printing and experimental mechanics Numerical modelling (FEA) and/or programming (Python/Matlab) Experience with 4D printing or SMPs is
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, and data analysis. Knowledge of advanced statistical methods or data visualisation (e.g., developing Shiny web applications). Experience with Statistical Programming using R and/or Python. Experience
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Science, Applied Mathematics or a closely related field. A strong mathematical background (probability, linear algebra, optimisation) and proficiency in programming (preferably Python/Matlab) are essential. Prior
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in programming for data analysis and algorithm development (e.g. Python, MATLAB). Strong analytical skills and the ability to critically evaluate technical and scientific literature. Excellent
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sciences. Prior machine learning or Python experience is a strong bonus, but not a must. We seek colleagues who enjoy coding, scripting and analytics, and are keen to push the boundaries of data-driven
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Investigator and postdoctoral researcher in regular project meetings, reading groups, and collaborative discussions, while developing an independent doctoral project. Your future tasks: The PhD Project