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lives, one discovery at a time! Community Information Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages and interests. Founded on education
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languages is preferred. Experience handling large next-gen sequence datasets is preferred. A demonstrated ability to publish original research in peer-reviewed journals is preferred. About the Department We
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associate to support an ethical, legal, and social implications (ELSI) analysis of the NSF funded study “Integrating Human-Derived Neural Networks and AI for Information Processing in Brain Organoids” under
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large international Horizon Europe research project focused on enhancing climate benefits and ecosystem services in forested and rewetted peatlands across Europe. Your task will be to investigate
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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within our HubMeta platform. The Postdoctoral Fellow will lead the data cleaning, measurement taxonomy development, and AI-integration phases of the project. Reporting to the Principal Investigator (Dr
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and archival data, as well as working towards future observing proposals and strategies. Within this framework, the successful candidate will have flexibility and freedom to tailor the project
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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
, designing tools for data interpretation and visualization, and/or training foundation models and large language models (LLMs) for diverse biomedical applications. Dr. Li has published over 70 peer-reviewed