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Field
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physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in theoretical plasma physics
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RNAseq library prep), large scale data analysis. The candidate will contribute to the design and execution of experiments, data analysis, and dissemination of results in peer-reviewed journals and
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the disease, using novel methods for analysing complex high-dimensional genetic, transcriptomic and proteomic data linked to health outcomes from large biobanks and smaller clinical cohorts. The Opportunity: We
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, immunohistochemistry, mouse colony administration, genotyping, confocal and large scale microscopy, molecular biology techniques (RNA preparation, single cell RNAseq library prep), large scale data analysis
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psychological or clinical mental health sciences Teaching is integral to the work of the institute. We have a large portfolio of masters level and undergraduate teaching in global health. We have recently
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A Research Fellow position is available in the group of Professor M. J. Rosseinsky OBE FRS to work in a team of computer scientists and materials chemists funded by the AlChemy. AI in Chemistry Hub
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methods to biological problems Experience with database querying, management systems, and data extraction techniques for large datasets Knowledge of natural language processing (NLP) and/or large language
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Do you have in-depth knowledge of distributed systems? Have you ever designed and implemented system components for a large cloud platform? Would you like to bring your technical skills to real
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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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turbulence data, together with fine-scale profiles from standard Argo floats, to quantify rates of vertical and horizontal ocean mixing, and you will apply inverse methods to investigate the role