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Electronic Health Records from people with epilepsy across multiple NHS hospitals in England and Wales. They are expected to have some experience working with NLP in general and LLMs in particular. Familiarity
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to focus on computational aspects of the project, in particular the creation of numerical bifurcation tools for the investigation of strongly coupled networks with multiple state-dependent delays. We believe
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This postdoctoral role will be hosted within AbbVies Immunology Discovery Research and support a cutting-edge in vivo engineered cell therapy program with revolutionary potential to deliver cures for multiple immune
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Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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three years with research duties exclusively. The hired candidate will be admitted to the PhD program in Social Sciences. The education includes relevant courses amounting to about six months of study, a
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with hosts in other countries. Programme information for postdocs (PDF, 132 KB) Programme information for experienced researchers (PDF, 138 KB) Search for potential hosts in the Humboldt Network (German
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is enrolled in USN’s PhD-program in PhD in Technology within three months of accession in the position. It may be possible to get a four-year full-time period consisting of 75 % PhD Research Fellow and
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. The postdoctoral researcher participates in a project set between classical public opinion research, (social) media (content) analytics and data linkage, and Computational Social Science. The goal is to capture
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with epilepsy across multiple NHS hospitals. They are expected to have some experience working with NLP in general and LLMs in particular. They will also help to further develop machine learning models