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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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(AI) and machine learning (ML) methodologies. The position involves annotating clinical data, collaborating with AI/ML/NLP teams, developing algorithms, and generating insights to improve patient care
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). Experience in the application and development of computational methods/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology
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Commitment Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & lived experiences. Embracing varying opinions and
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patient simulated learning, manages lab equipment, media, computers, and materials related to simulation events; operates and troubleshoots simulation software. The Technician will represent the Center by
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Institute: The Texas A&M University Space Institute will advance commercial, government, military, and academic research and development partnerships in support of national and international space endeavors
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: Houston, TX. About The Texas A&M Space Institute: The Texas A&M University Space Institute will advance commercial, government, military, and academic research and development partnerships in support of
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of Linux operating system and/or machine learning is desired. Prior experience with routine molecular biology and/or biochemistry methods is expected. Work Authorization Requirement: This position is not
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Qualifications Statistical analysis/machine learning: R: ggplot, dplyr - dimensionality reduction, differential tests (rank sum, ANOVA, t-tests, etc.) Python: scikit-learn, matplotlib, pytorch, scipy - numerical
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data engineering of electronic health data for machine learning applications, interoperability with electronic health record (EHR) systems, and evaluation of algorithm predictive performance