Sort by
Refine Your Search
-
Listed
-
Country
-
Field
-
and pain research Required Qualifications: PhD (or equivalent) in epidemiology, health data science, biomedical informatics, biostatistics, public health, or a related field. Demonstrated experience
-
Application Materials: Please send your application materials to Adina Fischer, MD, PhD at adinaf@stanford.edu (link sends e-mail) . Does this position pay above the required minimum?: No. The expected base pay
-
for a PhD Degree in Oceanography / Marine Science / Environmental Fluid Mechanics, or a related discipline except the dissertation at the time of application Additional qualifications (required at time of
-
participation in ongoing funded projects as well as the freedom to pursue independent directions. This is a one-year appointment with the possibility of renewal. Candidates should hold a PhD in a quantitative
-
includes contributing to the establishment of a new central laboratory resource, offering these advanced genetic tools to broader research initiatives. Required Qualifications: PhD Required Application
-
, Stanford PRL), career development resources, and competitive benefits and salary commensurate with experience. Required Qualifications: PhD in physics, electrical engineering, mechanical engineering
-
. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
-
. Required Qualifications: Doctoral degree (PhD) conferred by start date Demonstrated experience with analysis of large health databases Training and experience in machine learning and deep learning methods
-
ligands suitable for theranostic application. Required Qualifications: PhD in organic chemistry or related field Required Application Materials: CV Brief statement of research experience/interests Stanford
-
external) Candidates from a diverse background are encouraged to apply. The applicant may hold a PhD either in physical sciences/engineering with a strong interest in translational research and motivation