Sort by
Refine Your Search
-
model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction
-
paradigms in primates or humans – Theoretical neuroscience, machine learning, or AI • Proficiency in Python, MATLAB, or equivalent data‑analysis frameworks. • A passion for big‑picture questions, open science
-
attend seminars and speaker series and will be able to audit courses offered by the GSE to strengthen or expand their analytic skills (via courses offered by the Center for Education Policy Analysis and
-
, Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams
-
Fellowship in Cancer Screening, Health Policy, and Decision Analysis Applications are invited for a postdoctoral fellow position in cancer research to join Dr. Summer Han’s research group in the Stanford
-
processes: The design and implementation of randomized controlled trials, the analysis of administrative data, the analysis of video and audio data, qualitative studies of implementation through interviews
-
or expertise with flow cytometry and flow analysis programs are required. Prior exposure to principles of allergic responses is desired but not required. Experience with RNA library preparation, RNA sequencing
-
. Required Qualifications: PhD or MD/PhD in a field(s) relevant to functional neuroimaging and neuroimaging data analysis. High-level experience with functional magnetic resonance imaging, spanning resting
-
model. Key responsibilities include: Performing animal surgeries, including intracranial tumor implantation Acquisition and analysis of MRI/MRS data Conducting histological validation and tissue analysis
-
. Candidates should also demonstrate strong skills in Python (for ML/NLP tasks) and R (for statistical modeling or data analysis), as both will be actively used in the research workflow. Importantly