Topics: bioinformatics, spatial transcriptomics, gene imputation, benchmarking, cross-platform/species analysis Skills: Programming Languages: Proficient in Python and/or R, commonly used in bioinformatics. Data Analysis: Experience with statistical data analysis and machine learning models.