58 deep-learning positions at Stanford University

Open Postdoctoral position, faculty mentor Summer Han

for high-dimensional survival data using longitudinal features, and (6) machine learning and deep learning for analyzing time-to-event outcomes, or (7) radiomics and medical imaging analysis.

Research Data Analyst 1 (75% FTE/Hybrid Opportunity)

computer clusters and bash/shell scripting. Experience in data science, statistics, optimization, machine learning, and/or deep learning. Experience with machine learning frameworks (e.g. PyTorch, Tensorflow

Open Postdoctoral position, faculty mentor Joseph Liao

We are inviting applications for a full-time postdoctoral scholar with a strong computational background and interest in leading the development of clinical deep learning and other machine learning

Staff Psychologist

to the pursuit of clinical excellence, organizational diversity, and social justice. Vaden Health Center is within the Division of Student Affairs which advances student development and learning, fosters

Clinical Neuroscience Data Specialist

across different scripting and software environments and display agility in learning. Members of the Center possess deep domain experience in their chosen fields and an ability to communicate across fields

Community Program Manager

The Stanford Center on Early Childhood , an initiative of the Stanford Accelerator for Learning , seeks a full time Community Program Manager to join our team. The Community Program Manager will

Research Data Analyst 1 (75% FTE/Hybrid Opportunity)

, machine learning, and/or deep learning. Experience with machine learning frameworks (e.g. PyTorch, Tensorflow, etc.) Experience with Statistical software (R, SAS, SPSS, or equivalent), and other common

Life Science Research Professional (Hybrid) (1 Year Fixed Term)

-renowned. Stanford Radiology’s core strength lies in its people: faculty, who are highly regarded for their deep subspecialty expertise, dedication to patient care, and responsiveness to referring providers

Research Data Analyst 1

an interdisciplinary team. There is a need for flexibility to work across different scripting and software environments and display agility in learning. Members of the Center possess deep domain experience in

Open Postdoctoral position, faculty mentor Suzanne Tamang

the analysis of large and complex population-based datasets, using techniques from natural language processing, machine learning, and deep learning. Dr. Tamang is committed to recruiting and mentoring