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the coding of video data in infants. Responsibilities will include activities such as working with large, longitudinal datasets, designing and implementing lab-based experiments, coding video data
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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spectrometry-based metabolomics datasets, with discovery of unknown metabolites being a major focus. The laboratory is engaged in several metabolite discovery campaigns involving mining of large-scale
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activities such as working with large, longitudinal datasets, designing and implementing lab-based experiments, coding video data, writing manuscripts, presenting research, and mentoring undergraduate and
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package development and maintenance in R; record linkage/entity resolution; data privacy techniques; large data processing and high performance computing; advanced causal inference and statistics; computer
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activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring undergraduate and graduate researchers in
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contributing to mean state biases and their non-stationarity; 3) assessing local and remote contributions from large-scale climate modes to coastal sea level variability; 4) collaborating with others at NOAA's