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. Preferred: • Strong programming skills in languages such as R/Python • Research background in biostatistics/statistical genetics/population genetics/deep learning and LLM • Experience in any of the following
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technologies (e.g., spatial transcriptomics, CODEX, Akoya PhenoCycler). Proficiency in single-cell RNA sequencing, high-dimensional data analysis, bioinformatics tools, and programming languages (R, Python
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. Experience / interest in Python programming for scientific applications and/or data analysis pipeline development. III. SUPERVISORY RESPONSIBILITIES Assist visiting scholars and students in the execution of X
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