36 algorithm-development-"St"-"St" Postdoctoral positions at Baylor College of Medicine
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experimental rigor. Postdoctoral fellows receive dedicated support in developing independent research programs, acquiring advanced technical skills, and building scientific leadership capabilities. Laboratory
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. Evaluates and analyzes data independently. Develops service line focused on peer support services participating in aspects necessary to accomplish this goal. Develops projects focused on peer support services
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in the interactions of nutrition, metabolism, and the development and treatment of metabolic diseases such as obesity and cancer. The goal is to identify nutritional interventions and metabolic
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cellular immunotherapy, molecular cloning, and data analysis, with a strong interest in developing innovative cancer treatments. Job Duties Designs and executes experiments involving CAR T-cell engineering
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findings with multi-omics and disease outcome data from patient and animal studies. Models development and experimental tools. Generates, maintains, and utilizes transgenic and disease models to support
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studies. Job Duties Plan, directs and conducts advanced research experiments using mass spectrometry. Develops, implement and manage computational workflows and data analysis pipelines for processing and
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basic and translational neuroscience and genetics research. Our laboratory focuses on understanding neural circuit development and function, inhibitory neurobiology, cerebellar neural circuits, and
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the Texas Children's Cancer Center. The project aims to develop and test novel CAR-redirected immunotherapy for pediatric solid tumors. In particular, we want to design and test a regulated PRDM1 knockdown in
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Development: Masters advanced C. elegans genetics techniques including CRISPR/Cas9 genome editing. Gains expertise in microbiome manipulation and high-throughput screening methods. Learns human organoid culture
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mammalian brain development, and how abnormalities in normal brain development lead to the development of brain cancers. Analyzes and interprets data (whole-genome, whole-exome, ChIP-seq and RNAseq) in light