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(notably MCP, A2A). Note that the successful candidate will work in collaboration with two other postdocs on a closely aligned project “Rethinking multi-agent systems in the era of LLMs”, funded by
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multiple demands, and able to provide informed recommendations to project leads. Their responsibilities will include engaging and enrolling London schools in the study, collaborating with PPIE groups
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data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and chromatin accessibility. You will contribute to the study and sequencing design, collaborate
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directly involved in this project. Applicants will have essential knowledge and significant bioinformatics expertise in analysing genomic and transcriptomic sequencing datasets in vertebrate or mammalian
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successful candidate will work in collaboration with two other postdocs on a closely aligned project “Rethinking multi-agent systems in the era of LLMs”, funded by the Schmidt Sciences Foundation, and also
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. The successful candidate will be expected to work with (including designing, aligning and operating) quantum optical and magnetic resonance setups and will benefit from the active research environment within
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Summerfield. The post-holder will have responsibility for carrying out rigorous and impactful research into human-AI interaction and alignment, with a particular focus on studying how humans and AI systems can
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learning “emulators” of multiple ice sheet and glacier models, based on large ensembles of simulations extending to 2300. The simulations will be from two international projects aiming to inform
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potential emissions reduction and improvement in soil health. The post will rely strongly on project collaboration with local NGO and government stakeholders as well as the multiple university-based research
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process due to the constant exposure of the gut to microbes, pathogens, food, and chemicals. This process involves crosstalk between multiple immune cells, and within the epithelial layer, the communication