Sort by
Refine Your Search
-
experience with large-scale human datasets, machine learning, statistical genetics, causal inference, multi-omics, cardiovascular imaging, programming in Python or R, and scientific writing. Prior experience
-
ability to quickly learn and master various computer programs. Strong record of peer-reviewed publications. A PhD, MD or equivalent with prior relevant training in Immunology, Biology, Bioinformatics
-
therapies. Discovering tumor-stromal, tumor-immune, and tumor-ECM programs that drive therapeutic resistance, cancer progression, and metastasis. Developing and applying computational/AI-enabled spatial omics
-
(e.g., All of Us, UK Biobank, and Million Veteran Program), traditional cohorts (e.g., Women’s Health Initiative), and local Stanford data. Lab members have access to state-of-the-art computational
-
-development environment, including structured mentoring programs, workshops and training opportunities, seminar series, and annual departmental retreats. Beyond the lab, the sunny Northern California Bay Area
-
collected through ongoing SCEC programs. This data will support the postdoc's work developing and deploying multimodal models to improve the iFIND tool, extending its current text-based approach. Primary
-
compliance considerations (e.g., HIPAA), data usage agreements, and governance for imaging datasets. Training plan and milestones. Year 1: Establish data access streams, curate imaging cohorts, implement
-
(but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Pay Range: $80,000–$95,000 Postdoc in the modeling of laboratory workflows to program self
-
using in vivo Perturb-seq. This project is related to a new NIH-funded Program Project Grant aimed at identifying differences and similarities in gene function across vascular cell types and diseases, as
-
individuals A trial testing an adapted version of CPT for individuals who use opioids, delivered within syringe service programs A trial testing an integrated CPT and Relapse Prevention (RP) intervention All