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/Python), deployment (to the agents' onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
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Computer Science major courses; and graduate-level courses. Undergraduate introductory level teaching could include courses in programming with Python and Java, data structures, web design, and web-based
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statistical modeling and analysis of human performance data (reaction time, workload, situation awareness), including mixed-effects/multilevel models. Programming proficiency in Python, R, and/or MATLAB
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related quantitative field. Strong programming skills in Python and/or R are required. Experience with the analysis of multi-omic datasets (e.g., metagenomics, metabolomics, transcriptomics) and familiarity
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, or equivalent research experience. Strong quantitative and analytical skills. Experience working with large datasets. Proficiency in R, Python, Stata, SPSS, SAS, or equivalent statistical tools. Strong
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programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications
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, biophysics, applied mathematics, or a related quantitative field. Strong programming skills in Python and/or R are required. Experience with the analysis of multi-omic datasets (e.g., metagenomics
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in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning
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, or human-centered ML. ●Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. ●Excellent abilities in
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. Preferred Skills, Knowledge and Abilities: Knowledge of data visualization tools (e.g., Tableau/Tableau Prep). Familiarity with or interest in learning data wrangling tools (e.g., SQL, Python) or automation