6 combinatorial-optimization Postdoctoral research jobs at Baylor College of Medicine
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in AI-modeling, Monte Carlo simulation, and coding. The successful candidate will work alongside a multidisciplinary team, leveraging artificial intelligence and computational methodologies to optimize
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, and maintain high work ethics. We especially welcome applicants who are recent graduates and are interested in pursuing an independent academic career. Job Duties Designs, optimizes, and executes
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resonance imaging (MRI) experiments in living rodent models to complete the work proposed in funded grants (CPRIT, NIH, other grants). Develops and optimizes scan sequences to enable quantitative in vivo MRI
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spatial transcriptomic data using R or Python; interprets findings in the context of transplant immunobiology. Establishes new research protocols and procedures: Develops and optimizes protocols
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tSNE/UMAP clustering and trajectory inference to uncover novel immune cell states and mechanisms. Develops and optimizes new experimental protocols. Summarizes findings and contribute to manuscript
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immune assays. The research will focus on developing and optimizing novel gene modified T-cells against solid tumors. The postdoctoral associate PhD will work directly with the PI. Job Duties Conducts pre