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vulnerabilities in lung cancer.” This work forms a critical part of the next phase of the project, which is now entering a high-intensity stage involving collaboration across multiple institutions. The Person We
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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
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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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generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people with epilepsy across multiple NHS hospitals. They are expected to have some experience
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the following criteria will be emphasised: submitted scientific work and your personal skills for completing the project within the time frame international experience and network qualifications within the areas
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, computer science, architecture, and engineering to develop scalable, data-informed solutions in sustainable design, construction, and energy management. The Cluster aims to modernize—and ultimately revolutionize
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. (pierre.apostolides@umich.edu ). Job Summary The Apostolides Lab has multiple, fully-funded positions for postdoctoral fellows to undertake projects related to auditory perception, reinforcement learning, and neural
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for the NSF-funded 3-Cs DBER-E Postdoctoral Fellows Program (Award #2430498) . The overarching goal of this two-year postdoctoral fellowship program is to provide participants with the training and practice
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training to the level of a doctoral degree. Admission to the PhD programme is a prerequisite for employment, and the programme period starts on commencement of the position. The PhD fellow position is for a
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problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion