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of uncultured viruses. The research for this position aims to extend this approach to identify optimal assembly conditions for viral capsid assembly fromuncultured viruses. This requires integrating AI-based
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Science, or a related field Strong programming skills in Python, R Solid understanding of: Machine learning fundamentals Deep learning architecture (e.g., CNNs, RNNs, Transformers) Optimization and model
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to therapy. The University of Miami Miller School of Medicine and the Sylvester Comprehensive Cancer Center are an optimal environment for career growth. The Department of Molecular & Cellular Pharmacology is
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assessments, develop high throughput behavioral and neural-behavioral screens including optimizing optomotor assays, sperm motility assays, gonad assay, fecundity assays, kidney function assay, organ
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productivity through publications or presented research. Experience designing and optimizing experimental workflows involving complex signaling pathways and multi‑level data integration. Knowledge, Skills
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progression of the disease and optimize treatments. The person will use these models to develop novel treatment strategies and determine the efficacy of targeted treatments using genomic information. They will