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interdisciplinary research project at the intersection of spatial computing, AI, and surgical education. This one-year position will focus on the research on next-generation educational technologies for
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with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing platforms. Working knowledge of at least one of: GWAS, Mendelian randomization, fine-mapping, colocalization, polygenic
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Python and modern deep learning frameworks. ● Experience with High-performance Computing Infrastructure and GPU clusters. ● Strong research background in multimodal modeling, representation learning
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