16 algorithm-"Multiple"-"Prof"-"U.S" Postdoctoral positions at Baylor College of Medicine
Sort by
Refine Your Search
-
learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data
-
data, metabolomics and/or proteomics. Develops robust pipelines for data annotation, analysis, and quality control. Creates analytical algorithms and tools to address scientific questions with big data
-
significant progress toward the understanding of these blinding diseases and their research has been published in translational journals. The PI has received multiple NIH grants to study these ocular disorders
-
, and project personnel across multiple sites to move projects forward. Maintains project databases, tracking and reporting on project components to ensure timelines are adhered to and are deadlines met
-
members). Works collaboratively with other lab members, senior researchers, and faculty members at the departmental or inter-institutional levels. Manages time and multiple projects efficiently while
-
between multiple complementary experimental platforms along with human genetic and clinical data. Job Duties Refines their independent project. Designs, carries out, and analyzes results from
-
Mendelian genomics and multiple NIH-funded Precision Medicine initiatives. This position offers an exciting opportunity to contribute to groundbreaking research in genomic medicine, working at the forefront
-
metabolomics), biochemistry. Individuals with expertise in one or multiple of the following aspects: Patch-clamp electrophysiology, rodent behavior study, RNA-sequencing, proteomics, or other multi-omics studies
-
infections, E. Coli. Multiple projects are available, and the project will overlap with an existing phage biology program and center. The work is in part funded by the National Institute of Health as
-
outcomes across multiple descendant generations (Di Gesù, Matz et al., Cell Rep 2022). The research program is focused on identifying the mechanisms by which maternal environmental exposures, from diet