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skills and be able to use various software packages, including custom software specific to the University & general software. Training will be provided when needed. To perform in this role you must also
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personally whilst maintaining our commitment to delivering high-quality service to all our students. In addition, we have moved to a modern campus building, offering a bright and spacious learning and working
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to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and
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will play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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Language Processing and Machine Learning are requirements of the role as well as considerable experience in the finance industry. There will also be opportunity to collaborate with external companies---experience
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administration. This is part of your personality: Completed Master's degree or diploma, in the field chemistry, preferably with a focus on analytical chemistry and computer-aided chemistry or an equivalent
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validation with end-users. The student will have access to specialised training in quantum security and advanced machine learning. The self-funded nature of the project affords the unique flexibility to pursue
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. Key Responsibilities: Deliver outstanding teaching and learning on HE Criminology and Access to HE Business programmes. Plan, prepare and assess coursework and assignments in line with awarding body
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-seq datasets, and applying advanced statistical and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In
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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with