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, regional, and national levels. Further information about the department may be found at https://socialwork.gmu.edu. About the Position: The Social Work Postdoctoral Research Fellow will gain research
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spectrometry-based proteomics data. Research projects will center on advancing the FragPipe computational platform, including new modules for DIA mass spectrometry data analysis. The successful candidate will
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to the position holder's interests. Responsibilities vary for each project but could include data collection, data management, data analysis, and contributing to the production of deliverables, including grant
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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu, Philippines, for more than 40 years. Recently generated genome-wide methylation data will be used
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machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data
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: language learning/acquisition, interpretability/mechanistic analysis, human-like modeling, or formal language theory Excellent programming and data analysis skills (Python required; familiarity with PyTorch
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, including participant recruitment and data collection. Support data analysis (experience analyzing longitudinal data preferred) and co-author peer-reviewed manuscripts. Contribute to grant development and
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samples. • Contribute to data processing, computational workflows, and comparative genomic analysis. • Collaborate with team members to advance the project’s goals. Supervision This position is supervised
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limited to: -Perform experimental tasks toward realizing a primary thermometer base on rubidium atoms -Data analysis -Disseminating project results via peer-reviewed publications and public presentations