32 web-programmer-developer-"https:"-"https:" Postdoctoral positions at Baylor College of Medicine
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The research program integrates state-of-the-art genomic and molecular approaches that includes ribosome profiling, CLIP-seq, single-cell multiomics, CUT&Tag, and long-read sequencing—to elucidate gene
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on new and available data sets. Assists in data acquisition and experiment setup. Develops data visualization tools to display meaningful features. Decodes neurophysiology of cognition using Neuropixel and
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remodeler, in immunotherapy response.” This project aims to study the role of ATRX which is SWI/SNF-like ATP dependent chromatin remodeler, has various role in human cancer development and well-studied in
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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
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PIs, publish manuscripts, and apply for career development grants. Develops statistical and generative AI models for single-cell and spatial data from the Martin Lab and multimodal (genetic, imaging
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examining cancer signaling pathways, cytokine biology, therapeutic resistance, and tumor metabolism. Designs and executes xenograft, orthotopic, syngeneic, and PDX in vivo studies. Develops and maintains 3D
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well as opportunities for growth and career development. The Postdoctoral Associate should be highly motivated, well organized, and able to work independently as well as part of a team. They will be required to design
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
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models of heart disease. The lab possesses state-of-the-art equipment and is actively involved in the development of innovative techniques and devices for heart research. The lab is currently pursuing
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interested 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