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Developing computational models and running computer simulations in science and engineering still requires substantial expert knowledge. Agentic artificial intelligence (AI) offers a great
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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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the aim is to establish fully integrated motor drives as a key enabling technology for sustainable electricity generation, high-efficiency industrial systems, lightweight transport applications, and
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future career in healthcare technology. The University emphasises the clinical translation of innovative research to ensure real-world impact through the Healthcare Technologies Institute and the Precision
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promising candidates for this goal, combining fast electrical control, compact device geometry, and excellent performance in a semiconductor platform. As this technology advances, one of the main remaining
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the aim is to establish fully integrated motor drives as a key enabling technology for sustainable electricity generation, high-efficiency industrial systems, lightweight transport applications, and
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intensively towards major strategic themes . Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability. Sharing science, shaping tomorrow . Working
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characterizing individual nanoclusters • Engineering and purify protein nanopores with tailored sensitivity to size, charge, and etc. • Developing data analysis pipelines and machine learning approaches for signal
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Your position You will develop generative models on single-cell and spatial genomics data, from sequencing and imaging, and apply them to human developmental and disease biology. Possible research
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for candidates with A master’s degree (e.g. MSc, MEng, MPhys, MRes or equivalent) in a relevant engineering or physical sciences discipline, such as electrical/electronic engineering, general engineering