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Field
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of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible for the application and validation
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and exploit therapeutically relevant subsets. The Research Fellow will lead studies on cytotoxic T cell mechanisms, oversee preclinical validation, and advance CAR-iNKT platforms optimised for AML
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experience in spatial analysis and/or machine learning methods, and an interest in applying these tools to urban and housing policy questions. The Fellow should demonstrate potential for producing high-quality
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qualification/experience in a related field of study. The successful applicant will have expertise in statistical modelling, epidemiology or machine learning and possess sufficient specialist knowledge in
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candidate will be at the forefront of integrating advanced optical technologies with machine learning techniques to develop novel, high-performance fibre-optic sensing applications. You will be responsible
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machine learning is essential; while structure prediction or materials chemistry experience would be advantageous, it is not a pre-requisite for the role. This post would be ideal for an ambitious and
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therapeutic products from these technologies, with a focus on metabolic diseases (Maple Syrup Urine Disease), neuromuscular diseases (Duchenne Muscular Dystrophy), and immunotherapies (CAR-T technologies
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population genetics, bioinformatics, computational biology, statistics or probabilistic machine learning and computer science. Experience of working with large genotyping or sequencing data sets A proven
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-intensive Universities? We invite applications from a driven and enthusiastic candidate for a post-doctoral researcher position in the Lukacs lab, funded by the Wellcome Trust. We are located within
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collaboration with the world-leading Briscoe lab at the Francis Crick Institute. It is using mathematical and machine-learning methods to study the early development of the neural system and developing those