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direction of Hannah Druckenmiller to conduct research in environmental economics and policy analysis. The group’s research involves using quasi-experimental methods and large, geospatial data to analyze
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large animal models (pigs). Works with collaborators to develop preliminary data and analyze animal model outcomes. Develops tissue culture assays to support research goals and isolation of primary cells
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The Princeton University WET LAB (https://ren.princeton.edu/) is seeking a postdoctoral research associate(s) or more senior researcher(s) with expertise and interest in Large Language Models (LLM
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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from and strongly interact with the Helmholtz large-scale infrastructure project “SAFAtor”. Your responsibilities: Processing DAS data from different ongoing experiments in the study region Application
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a related field. No experience required. Preferred Qualifications Prior experience with brain development, and/or cancer cell biology would be an asset. Experience with large-scale genomic data would
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& Data Science at Carnegie Mellon University (https://www.cmu.edu/dietrich/statistics-datascience/index.html) invites applications for a full-time; 9-month Special Faculty – Postdoctoral Researcher from
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experiment at CERN in Geneva, Switzerland. The Omega Group has major responsibilities in detector operations and software development, and has leading roles in the ATLAS High Luminosity Large-Hadron Collider
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also collaborating with the PI and graduate students. Opportunities to Contribute Performs research and development on laser spectroscopic ranging and imaging systems. Analyzes research data and
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strategies for genomic analysis Performing genotyping, molecular cloning and sequence analysis Managing large genomic sequence files **An Internal candidate has been identified Qualifications REQUIRED