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Position Details Position Information Announcement Number STAFF - VA - 26364 For questions regarding this position, please contact: Dr. Xin Han Assistant Professor xin.han1@montana.edu
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research experiments within the Pediatric Brain Tumor Research Program. This position will be responsible for evaluation and analyzing large sequencing and multiome data-sets. Baylor College of Medicine
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background in statistics, and familiarity with large data sets such as metabolomics or epigenetic sequencing. Experience in epigenetics or gene regulation is a plus. Experience with statistical analysis tools
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data collection activities, ability and interest in working with large datasets, and interest in working with interdisciplinary teams of researchers. The expectation is that the scholar would help lead
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guidelines that assist agencies in implementing effective safety measures. What you need to know Salary: $56,000.00 Special Instructions: A cover letter, resume, and contact information for three professional
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biology and genomics. We are collaborative and multidisciplinary, combining organic chemistry, cell and molecular biology, protein biochemistry, and large-scale genetic screening in our research approach
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contexts Develop and/or evaluate AI-driven systems (e.g., LLM-based tools, decision support systems, adaptive interventions) Analyze qualitative and/or quantitative data to generate actionable insights
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, fluorescence lifetime and vibrational imaging methods. Large-scale and high-throughput imaging and analysis pipelines: data acquisition and analysis to characterize cell-types and connectivity in mammalian brain
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development, radiative transfer modeling, and satellite data analysis. While associated with a sponsored project, the postdoctoral associate will also have opportunities to contribute to broader group research
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reconstruction and tracking performance evaluation Knowledge and programming experience in scientific Machine Learning Working knowledge of large-scale data processing Programming experience in C++, ROOT, and