Sort by
Refine Your Search
-
at PESD are available at PESD Director, Frank A. Wolak’s web-site: https://fawolak.org/pages/papers (link is external) . Required Qualifications: PhD in relevant subject area Expertise in large scale
-
of behavior. Required Qualifications: a PhD (must be conferred before appointment start date) research experience in a related field at least one peer reviewed scientific publication able to collaborate in
-
urgent questions of practical relevance and to design studies to test pragmatic solutions, analyze data, and disseminate findings and implications. The program will also provide fellows with training in
-
. The expected base pay range for this position exceeds Stanford guidelines. Required Qualifications: PhD with substantial expertise in data science, geospatial techniques, and statistical/causal inference
-
Posted on Mon, 06/23/2025 - 11:20 Important Info Deprecated / Faculty Sponsor (Last, First Name): Kapiloff, Michael Other Mentor(s) if Applicable: Jeffrey L. Goldberg, MD, PhD Stanford Departments
-
/artificial intelligence; (f) health policy, health economics, and decision science; (g) and implementation science Eligibility The ideal candidate will have an MD/DO, PhD, or ScD. PhDs/ScDs may be in clinical
-
Qualifications: PhD Required Application Materials: Biosketch (using NIH format – including personal statement, positions/appointments and contributions to science) Stanford is an equal opportunity employer and
-
Qualifications: PhD or MD/PhD in a field(s) relevant to functional neuroimaging and neuroimaging data analysis. Extensive experience with functional magnetic resonance imaging, including resting fMRI and task fMRI
-
, and capacity across diverse markets. The ideal candidate will have experience working with restricted-access Census data and hold Special Sworn Status (or be eligible to obtain it). Applicants should
-
, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data