Topics: bioinformatics, spatial transcriptomics, gene expression generation, retrieval-augmented generation, large models Skills: Programming Languages: Proficient in Python, and familiarity with machine learning libraries such as PyTorch. Data Analysis: Experience with spatial transcriptomics datasets and statistical modeling.
