32 developer-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" Postdoctoral positions at Baylor College of Medicine
Sort by
Refine Your Search
-
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
-
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
-
, 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
-
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
-
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
-
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
-
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
-
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
-
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
-
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