D. degree in Bioinformatics, Computational Biology, Genetics, Genomics, Data Science, Computer Science, Plant Biology, or a related field; Experience with data analysis using Python and/or R; Familiarity with genomics, transcriptomics, machine learning, or statistical modeling; Interest in gene regulation, regulatory genomics, AI applications in biology, and genetic design; Experience working with biological sequence data is preferred; Strong analytical thinking, scientific communication, and problem‑solving skills; Ability to work independently and collaboratively in a multidisciplinary research environment. This role will focus on building and analyzing large‑scale coding and non‑coding DNA sequence datasets, evaluating gene expression prediction technologies, and applying machine learning approaches to improve expression element design across crop species.