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Field
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cleaning datasets from recently completed research studies, database management, conducting statistical analyses (SAS or R), review/verification and archival of programs for research manuscripts, and
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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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Candidates are sought for a Postdoctoral Research Associate position in the lab of Prof. Andrew Smith within the Department of Bioengineering and the Carl R. Woese Institute for Genomic Biology (IGB
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include: *Doctoral degree in economics or political science. *Academic experience in economic theory, game theory, and statistical analysis *Proficiency with relevant software, e.g. Python, R, and STATA
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. Experience required includes proficiency in R and Python programming, experience with NGS data analysis, strong statistical background, track record of computational method development. Candidates must also
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degree in relevant fields (bioinformatics, immunology, computational biology, mathematics, and/or statistics). Strong programming skills in R and/or Python Demonstrated strong ability in analyzing high
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-tracking, and psychophysical experimental design, MRI data collection in a 3T Siemens scanner or equivalent, analysis of MRI data (SPM, FSL, or equivalent), statistical analyses in MATLAB, R, Palamedes
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for data analysis and research. Machine Learning Skills: Experience with machine learning algorithms, transformers, or large language models to analyze genomic data. Computational Proficiency: Skilled in R
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preferred. Knowledge of statistical methods, programming (e.g., Python, R), and data quality assurance techniques. Proven ability to work collaboratively in an interdisciplinary environment and engage with
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40,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 “Very High