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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 18 days ago
molecular epidemiology, genetics, or translational breast cancer research. The successful candidate will lead research efforts using rich molecular and epidemiologic data from the Carolina Breast Cancer Study
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biochemistry, and large-scale genetic screening in our research approach. Basic Qualifications: 1. A Ph.D. in a relevant field 2. Demonstrated record of research achievement. 3. Strong written and oral
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language processing), machine learning, or data science. Preferred Qualifications Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3
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. The project has been ongoing since 2010 and has served over 10,000 couples. The Fellow will fill two primary responsibilities: 1) Research publication and grant writing as well as 2) Project management. Data
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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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, 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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. We are currently analyzing brain, CSF and blood, multi-omic data (transcriptomics, proteomics and metabolomics), from a large collection of well-characterized samples to identify novel biomarkers and
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how you can be a part of AgriLife and make a difference in the world! Position Information The Program on Conflict and Development (ConDev) in the Department of Agricultural Economics at Texas A&M
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fireflies over summer 2026 and (2) analyzing a large dataset from a field study on flying insect attraction to artificial light that took place over summer 2025. Candidates will be expected to plan and lead
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discipline The ability to independently design and execute experiments and interpret data Expertise in at least one of the following areas: Super-resolution imaging, including Stimulated Emission Depletion