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between the two linked studies as well as taking the lead in the large-scale qualitative secondary analysis of interview data from multiple sources. In this role you will be expected to contribute
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of possible methodological components include self-supervised temporal representation learning for large volumes of unlabeled AE/electrochemical time-series data, switching state-space models that describe
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
large data set types including RNAseq, DNAseq, RIPseq, and CLIPseq. Experience in gene expression analysis, alternative splicing analysis, machine learning, and motif analysis are preferred. Candidates
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12 Dec 2025 Job Information Organisation/Company Uppsala universitet Department Uppsala University, Department of Chemistry - Ångström Laboratory Research Field Chemistry Researcher Profile First
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Large Language Models (LLMs). The position will also involve creating quantitative evaluation frameworks to assess the quality, realism, and reliability of generated data, as well as integrating graph
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techniques) as well as early universe cosmology (cosmic inflation, reheating, neutrinos, baryogenesis, dark matter, cosmic defects, CMB, large scale structures, gravitational waves cosmology, data analysis
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analysis Develop and apply data management solutions that aid in the storage, use, and sharing of large data sets Provide consultation and technical assistance to core facility users, including
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Posting Information Posting Details Department UNC Inst for the Environment - 635200 Posting Open Date 12/04/2025 Application Deadline 01/04/2026 Open Until Filled No Position Type Postdoctoral
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate, under general supervision, conducts lab experiments, analyzes and communicates data in the form
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equivalent to PhD level in health data science or similar field. Experience working within multidisciplinary teams, in medical statistics and in the analysis of large healthcare datasets (such as CPRD