Sort by
Refine Your Search
-
Listed
-
Field
-
datasets from single-cell RNA-seq, metagenomics, and metabolomics. A strong background in bioinformatics or computational biology is required, along with experience integrating multi-omics data. Familiarity
-
experience in conducting WGS and phylogenetic analysis, and a strong background in bioinformatics, genetics, and epidemiology. The successful candidate should be proficient in relevant software and programming
-
impairment across tissues and brain regions. The ideal candidate will have a quantitative background (bioinformatics, computational biology, biostatistics, statistics, computer science, or applied mathematics
-
, including sample size and power calculations for serological studies ? 20% Generate data visualizations and figures for use in manuscripts, grants, and presentations ? 20% Provide bioinformatic support for