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, collaborative science, and high-quality research. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Doctoral degree in mathematics, statistics, computer science
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, collaborative science, and high-quality research. Minimum Education and Experience Ph.D in a related field. Preferred Education and Experience Doctoral degree in mathematics, statistics, computer science
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machine learning experiments using state-of-the-art algorithms. They will apply statistical methods and procedures for the analysis and characterization of the representations produced by the algorithm
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statistical analysis. Ability to work collaboratively with excellent oral and written communication skills Strong proficiency in the English language (both written and verbal) Physical Activities Working
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), or an analysis-oriented programming language (e.g., R/Python/MATLAB or equivalent) are desired. Knowledge and experience in applying advanced statistical methods (e.g., multivariate statistics, graph theory
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details). You will ideally have a strong background in bioinformatics and statistics and prior experience in the analysis single-cell and other types of high-throughput data (e.g., RNA-seq, ATAC-seq, ChIP
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software Strong statistical skills Experience with Matlab and EEGLab or programming experience The successful candidate will have outstanding organizational and communication skills (written and oral) Proven
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degrees of confidentiality, basic computer skills, organization of records and attention to detail is a must. Knowledge of statistics and background in human subject research would be a plus. Essential