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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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remaining 50% on multidisciplinary research related to large load site selection and energy/resource strategies (demand-side analysis), including emerging topics such as data center energy needs
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bioinformatics, computational biology, genomics, statistical genetics, or a related quantitative field, together with demonstrated expertise in large-scale genomic data analysis and significant experience in
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 2 days ago
scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments. Learning Objectives: Under the guidance of a mentor, you will gain skills in and learn to: Develop
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and MySQL databases in HPC environments for large-scale data analysis. Collaborate with interdisciplinary teams to support data-driven biological discovery. Publish scientific papers, release datasets
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(EHR) data, large data sets, or geospatial analysis. A record of submitting external funding applications (e.g., F31, T32, foundation grants). Background Investigation Statement: Prior to hiring
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) Location: Big Rapids, MI Department: OAR Research Support Advertised Salary: $14.25 Summary of Position: The Summer Student Fellowship is intended to promote collaborative research projects between faculty
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analyses, latent modelling, multilevel modelling). Data Cleaning and Management. Engages both independently and under supervision in data management and data cleaning and organization in large (N~100,000
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produce new plant narratives for the Plant Humanities Lab , using the rare book collection at Dumbarton Oaks and other special collections, as well as large digital repositories such as iDigBio and the
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internal institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences