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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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. They will work on developing novel computer vision methods to improve decision making. The project will provide an opportunity to collaboratively work with computational scientists, pathologists and clinical
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engineering, statistics, and bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications
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regarding the application process, please contact the Institute of Neurology HR Team (ion.hradmin at ucl.ac.uk). Informal enquiries regarding the role can be addressed to Professor Andrea Malaspina
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bioinformatics. The Department's research strengths currently lie in behaviour and neuroscience, conservation science, ecology and all aspects of evolutionary biology. How to apply for sponsorship Please address
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including next-generation sequencing, bioinformatic analysis (R and/or python), mammalian cell culture. The post holder will be comfortable working both independently and in a collaborative environment. What
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bioinformatics. The successful candidate will join a team with a strong track record in developing computational tools and informatics infrastructure for metabolomics applications in toxicology, systems biology
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bioinformatics analysis and Drosophila work would be desirable but not necessary. This position will be supervised by Prof Hansong Ma in the School of Biosciences at the University of Birmingham. Main Duties
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experience: Essential criteria PhD awarded in genetic epidemiology, statistical genetics, bioinformatics or related discipline Postdoctoral research experience in genetic epidemiology, statistical genetics
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foundation in fundamental biofilm research, microbial community assembly and manipulation, and biofilm reactor operation is essential. Experience in metabolic engineering is desirable. The successful candidate