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causal networks that govern cellular behavior from large-scale single-cell datasets. Our group has pioneered computational approaches for: Inferring causal networks from Perturb-seq (interventional single
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Job Title Postdoctoral Research Associate - Social Networks Agency Texas A&M University Department Teaching, Learning And Culture (Tlac) Proposed Minimum Salary Commensurate Job Location College
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for MIMO networks including massive MIMO, multi-user MIMO and distributed MIMO. Preferred Qualifications • Strong coding/programming skill (e.g., Python, C++, etc). • Experience with O-RAN. • Experience
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Previous Job Job Title Post-Doctoral Associate - Measurement and Manipulation of Developing Cortical Networks Next Job Apply for Job Job ID 370353 Location Twin Cities Job Family Academic Full/Part
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in both empirical and theoretical economics, with good coding skills. The role will involve designing surveys, working with existing datasets, and applying structural models relating to human capital
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communication skills Strong analytical and problem-solving skills Intermediate to advanced coding skills in R or Python The ability to collaborate effectively with a diverse team Preferred qualifications include
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-omic, multi-context gene regulatory networks (GRNs) from large-scale single-cell datasets. We are pioneers in GRN reconstruction from single-cell multi-omics, including: Causal GRNs from Perturb-seq
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analytical and problem-solving skills Intermediate to advanced coding skills in R or Python The ability to collaborate effectively with a diverse team Preferred qualifications include: Experience in analyzing
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 9 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0326-NPP-NOV25-JPL-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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solutions and have the opporutnity to contribute to world-class research, we encourage you to apply! Opporuntities to Contribute Develops dynamic river-lake network models to track the geochemical and