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, and help integrate empirical data into system-level simulations. The project involves close collaboration with the University of Southampton on system modelling and NPL on advanced optical and thermal
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into practical methods for smarter testing and control. You’ll need to have expertise in modelling and simulation of dynamic systems, strong programming skills, and the ability to communicate your research clearly
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innovative EU-funded project at the intersection of polymer chemistry, computational modelling, and machine learning. The primary role is to develop a complete in silico framework to accelerate the discovery
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transport and recombination, and help integrate empirical data into system-level simulations. The project involves close collaboration with the University of Southampton on system modelling and NPL
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for analysis of large-scale bulk and single cell data sets Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets Experience with data
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. Track record of international collaborations. 5. Research experience with modelling organic molecules or polymers. Downloading a copy of our Job Description Full details of the role and the skills
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data sets Strong understanding of statistical modelling, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub
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of semiconductor devices in a clean room using advanced fabrication techniques and developing device simulation TCAD models to complement experiments and to support device design and to analyse device failure
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of education programmes. About the role Applications are invited for a postdoctoral position in the group of Dr. Chiara Gattinoni — within the Theory and Simulation of Condensed Matter research group
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Responsibilities To undertake training to run CONDOR simulations and in biophysics as required. To run and analyse CONDOR simulations on our high-performance computing cluster. To develop a deep-learning model for