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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
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Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
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—and career-defining. With a generous scholarship that speaks of trust, vision, and opportunity, this is more than funding—it’s your launching pad to impact the world.
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location-specific commodities (coral, honey, citrus and cheese) whose trade in the Middle Ages drew together networks of producers, merchants, processors and consumers from different places, polities and
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also be opportunities in the wider community of researchers at UCL to develop new networks. This is a fixed-term role for 6 months in the first instance, with the possibility of extension (3 years in
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contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you will collaborate with passionate minds across nine London campuses and a global network. This
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staff, you’ll collaborate with passionate minds across nine London campuses and a global network.
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wealth inequality, and how their career paths, values, and social networks maintain the status quo. As a PhD student on this programme, you’ll play a key role in generating new insights that could help
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social media. Prof. Mohammed Rafiq mohammed.rafiq@roehampton.ac.uk Responsible and digital supply chain management. Supply chain decarbonization and net-zero targets. Prof. Wantao Yu wantao.yu
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a relevant field (Architecture, Construction, Environmental Sciences) Knowledge of building physics, retrofit strategies, and energy performance Experience with dynamic thermal modelling software (IES