30 development-"https:"-"https:"-"https:"-"Instituto-Superior-Técnico" Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate- Intervention Development and Testing Division: Pediatrics Work Arrangement: Onsite only Location: Houston, TX Salary Range: Per NIH
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follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. Job Duties Develop new and innovative strategies for the analysis of cutting-edge single cell transcriptomic datasets
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, develop interactive dashboards, perform survival analyses, and conduct research in health outcomes disparities and predictors of treatment success for children with cancer. Baylor College of Medicine
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infrastructure for research and career development. The lab is seeking highly skilled and motivated Postdoctoral Associates with expertise in cell and molecular biology, biochemistry, immunology experience to join
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typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates. Job Duties Develop new and innovative strategies for the analysis of cutting-edge single cell transcriptomic
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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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Inflammation.” This program aims to train postdoctoral scientists for collaborative research careers in two inter-related topics: thrombosis and inflammation. There is increasing evidence of a direct
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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