-
mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real-world data, with strong programming proficiency in R
-
, and metabolomics, using advanced statistical and computational methods Familiarity with genome-scale metabolic models (GEMs) and familiarity with flux balance analysis or other metabolic flux modeling
-
in interdisciplinary and international teams. Track record of doing research in diverse international settings. Proficiency in analytical and statistical software. Excellent networking and partnership
Enter an email to receive alerts for statistics-"https:"-"IFM" positions