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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
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. Proficiency in Python, MATLAB, or R. Strong quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with
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quantitative and analytic skills. Preferred Qualifications Experience with evidence-accumulation models (DDM, sequential sampling, Bayesian models). Experience with computer vision tools (e.g., MediaPipe
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research on pediatric brain tumors, primarily pineoblastoma. Our research is focused on examining the molecular mechanisms of tumor progression and the identification of novel drug targets using genomic and
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on nanomaterial synthesis and functionalization for targeted immune modulation · Performing mechanistic assays to define immune activation and signaling pathways · Preparing figures, manuscripts, and contributing