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, TensorFlow, Pandas), ideally combined with knowledge of data visualization or statistical analysis Knowledge of software development (e.g., Python, Matlab, Simapro), especially in combination with experience
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following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph
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involves working with commercial fishing scientific data compilation, analysis, modeling, and visualization, and integration of local fishermen’s ecological knowledge, and available socioeconomics scientific
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, artificial intelligence and machine learning, data management, workflow systems, analysis and visualization technologies, programming systems and environments, and system science and engineering. Major Duties
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Science, Statistical Physics, or any other related field. The skills that we are looking for include: Statistical analysis & causal inference Data management, collection & visualization Social network analysis & graph
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in bioinformatics analysis and data visualization of our ongoing research projects on molecular characterization at the mRNA, miRNA, proteome and metabolome level from multiple lung compartments. Our
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, and investigating how adaptive plasticity evolves under different selective pressures. For more information, please visit Nidal Karagic’s laboratory web page: https://www.adaptive-plasticity.com
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
tasks, including literature review, designing analysis to meet research objectives, and data analysis and visualization, including spatial and statistical analyses. The datasets are large and complex, so
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. Proficiency in scientific programming languages (e.g., Python, R, or MATLAB) for data analysis and visualization. A record of research productivity appropriate to the career stage, including publications in
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, bioinformatics, computational biology, or a related field Strong data analysis skills with no required postdoctoral experience Hands-on experience with single-cell RNA-seq data processing and analysis pipelines