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culture and in vitro models of mucosal immunity Data analysis using Python and digital image processing These skills are highly transferable to careers in biomedical research, pharmaceutical development
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/PYTHON/R/C programming • Application of Machine Learning Algorithms Additional Information Benefits This scholarship covers the full cost of tuition fees, an annual stipend at UKRI rate (currently
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developer and user meetings. You will acquire skills in programming (e.g. Python, FORTRAN, bash) development of quantum chemistry software and stand-alone tools a wide range of computational and quantum
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discipline. Experience with Python and relevant AI/ML libraries (e.g., PyTorch, TensorFlow). Demonstrated knowledge of multimodal data processing (e.g., vision, language, audio) and machine learning techniques
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, or other related academic discipline. Good programming skills (preferably Python). Background/work experience in Cyber Security, Machine Learning, and Finance would be highly beneficial. How to apply
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educational track record in condensed matter physics and optics, Familiarity with data analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages
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Matlab or Python Previous experience in Finite Element Analysis Application Procedure Informal enquiries are encouraged and should be addressed in the first instance to Professor Chris Martin (chris.martin
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partners. Training & environment You’ll gain deep skills in hypersonic flows, AI for PDEs, data assimilation, and reproducible HPC workflows (Python/C++/PyTorch/JAX). You’ll be supported with paper writing
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topics and debates in ecology • Experience with a programming language (e.g., R or Python) and data analysis • Sound knowledge of English and the ability to write scientific publications
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, particularly insect decline and species distribution models (SDMs), are desirable • Experience with and knowledge of a programming language commonly used in data science (e.g., R or Python) • Experience and