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, epigenomics, nucleomics, etc.) Multimodal spatial and single-cell data visualization 2D and 3D bioimaging data visualization Data analysis and data management infrastructure for biomedical data visualization
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
-critical systems. Proven ability to design and conduct Human-in-the-Loop (HITL) experiments, usability studies, and human factors evaluations. Strong analytical and data analysis skills, with experience in
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
, biomedical engineering, computer science, epidemiology, or a related quantitative discipline. Demonstrated experience with large-scale human genetic data analysis (GWAS pipelines, QC, mixed models, population
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define how the choroid plexus develops, communicates with the developing brain and responds to maternal immune activation. The successful candidate will lead the computational analysis of large-scale
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related discipline. · Demonstrated expertise in next-generation sequencing technologies, including long-read, short-read, and single-cell sequencing data generation and analysis. · Extensive
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 2 months ago
. Bioinformatics analysis of sequencing data. Population genetics or evolutionary genomics. Applicants with extensive experience in highly degraded DNA (for example forensic, environmental, museum, or clinical
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, to extract insights from multi-omic single-cell and spatial datasets Integrate population-level genetic association data (e.g., GWAS summary statistics, eQTL resources) with single-cell and spatial datasets
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, including data analysis and visualisation, machine learning, computational methods, and more. If offered the position, you will participate in the following projects, based on your background and strengths