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approaches. Proficiency in scientific programming (e.g., R or Python) and scripting in research environments is required. Substantial experience with SPM and connectivity toolboxes is highly desirable
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learning, computer science, or a related field. Demonstrated experience analyzing single-cell and/or spatial genomics datasets is a plus but not necessary. Proficiency in programming (e.g., Python, R) and
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first-author publications, preprints or a public code record. Strong programming ability in Python and/or R, fluency at the Unix command line, and competence with version control and reproducible workflow
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models, natural language processing, transformer-based models, retrieval-augmented generation, or LLM application programming interfaces. Proficiency in Python or comparable programming experience for