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data formats. Preferred: Experience with NLP libraries (e.g., HuggingFace Transformers) and clinical text data. Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for text analysis
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architectures; adapt to and quickly learn new systems and technologies; and handle multiple tasks simultaneously with a close attention to detail and minimal oversight. Strong interpersonal communication skills
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to develop deep partnerships with community collaborators and acknowledge the expertise and contributions of our partners in all of the work we do. Project Partner The Leech Lake Band of Ojibwe (LLBO) is a
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from paleoclimate to deep earth dynamics. The Department is in the School of Earth & Environmental Sciences (www.cse.umn.edu/esci) which also includes the Institute for Rock Magnetism, the Continental
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following areas: 1) statistical genetics/genomics/omics, or 2) deep learning/AI. Most importantly, we value candidates who demonstrate both the ability and drive to rapidly learn and implement recent advances
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the summer of 2025 (30%). • Learn to interpret the data and prepare text and plots of data for reports and presentations (40%) Qualifications Required qualifications: • Pursuing a degree in Earth
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project management, including tracking engagement metrics, managing community partner databases, and contributing to reports, contracts, and grant deliverables. Deep understanding of and commitment
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Regular Job Code 8351AO Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Job Duties Conduct research based on spectra of Dwarf galaxies selected within the Euclid deep Field
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messaging that enhances reputation, drives engagement, and promotes alignment across internal and external audiences. The role requires sophisticated judgment, deep expertise in multi-channel communications
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, Communications Committee, Programming Committee, and Policy Review Committee) and the DCoP full community meetings. Manage arrangements and details of planning and executing the DCoP Diversity Data Deep Dive semi