Sort by
Refine Your Search
-
programming (e.g., R, Python). Strong record of peer-reviewed publications in plant science or related fields. Excellent communication skills and ability to work in a collaborative, interdisciplinary team
-
in languages like Python or R. Professional experience in the application of Machine Learning algorithms in the mapping and correction of spatial data. Professional experience in data analysis
-
gene identification (MEGARes, CARD, ResFinder). Proficiency in Python, R, or Perl, with experience in Linux/Unix environments. Solid understanding of antimicrobial resistance mechanisms, horizontal gene
-
sequencing (NGS) and omics data analysis. Knowledge of microbial ecology, dysbiosis, and host-microbiome interactions. Familiarity with cell culture techniques. R, Python, or other data science tools