This position is for a postdoctoral researcher to perform computational analysis of genome sequencing data in the Ellison laboratory. Position Status Posting Number 21FA0373 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience PhD is required along with knowledge of computer programming, statistical analysis, and genome evolution. Certifica

A postdoctoral position s available in the lab of Dr. Storch. The ideal Candidate will have strong communication skills, a publication record consistent with career level, and an interest in understanding lipid transport in the intestine. Proficiency in oral and written English are required. Salary will be commensurate with experience and follow NIH and Rutgers guidelines

Entry level postdoc position available for NIH funded laboratory in the Department of Genetics at Rutgers. The laboratory research uses the genetically tractable C. elegans systems to study processes relevant to human health and disease using using genetics, molecular biology, biochemistry, cell biology, and microscopy/imaging. A qualified candidate will be capable of wor

A postdoctoral position is available in the Bonachela lab (Department of Ecology, Evolution, and Natural Resources, DEENR , Rutgers University), in close collaboration with the Bidle and Thamatrakoln labs (Department of Marine and Coastal Sciences, DMCS , Rutgers University), to investigate the phenotypic plasticity of phytoplankton viruses. The scholar will join a Simons

The primary purpose of this position will be to carry out bioinformatic and computational analysis to identify genes associated with the risk of complex genetic diseases, using high throughput seuqenicng data. The candidate will be responsible to utilize current computational pipelines and develop novel computational tools to identify candidate disease causal genes in dif

The Chen Lab of Ecosystem Dynamics and Remote Sensing is seeking a highly motivated Postdoctoral Associate to lead research in modeling vegetation photosynthetic activities using space borne LiDAR data. The successful candidate will lead research on 1) Developing remote sensing products focusing on canopy vertical leaf area distributions; 2) Upscaling leaf level processes