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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential
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and experience with transformer architectures or LLM frameworks. • Mathematical rigor in logic, formal specifications, or constraint satisfaction. • Excellent English communication skills (spoken and
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catalytic performance. Applications include enhanced electrochemical sensing, field-responsive coatings, and energy-harvesting architectures. The candidate will use advanced fabrication, microscopy, and
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: At least an upper second-class degree (preferably MSc) in a Science or Technology discipline. Good working knowledge of machine learning and deep learning. Hands-on knowledge of Python or PyTorch
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diverse expertise and collaborative partnerships to foster innovative and socially engaged doctoral research. The award supports new and emerging themes across art and humanities, architecture, design, and
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international tuition fees provided by the University. How to Apply: All applications should be made online via the above 'Apply' button. Under programme name, select ‘School of Architecture, Building and Civil
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science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
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‘Architecture, Building and Civil Engineering’. Please quote the advertised reference number CENTA2026-LU02 in your online application. During the online application process please upload the CENTA studentship
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. Your experience and ambitions Master degree in architecture, engineering, or other relevant field Experience in life cycle assessment (LCA) and energy simulation, knowledge of One Click LCA and IDA-ICE
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traditional cell boundaries. This architecture offers improved coverage, user fairness, and spectral efficiency, making it crucial for applications such as autonomous transportation, smart cities, industrial