121 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at Stanford University
Sort by
Refine Your Search
-
research expenses. Please direct queries to Professor Lisa Surwillo (surwillo@stanford.edu (link sends e-mail) ). Required Qualifications: Applicants must have received a PhD from an accredited university in
-
opening for a full-time postdoctoral fellow in the laboratory of Wendy Liu, MD, PhD in the Department of Ophthalmology at Stanford University to conduct collaborative projects in vision research. Our
-
directly engage in course (re)development with faculty, as well as with Stanford’s Center for Teaching and Learning, preparing them for further opportunities as an educator in Bioengineering and related
-
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
-
Qualifications: Applicants must have received a PhD from an accredited university in German Language and Literature, History, Religious Studies, Philosophy, or a related field before the appointment start date A
-
Posted on Thu, 03/20/2025 - 22:13 Important Info Deprecated / Faculty Sponsor (Last, First Name): Dirbas, Frederick MD Other Mentor(s) if Applicable: Billy Loo, MD, PhD, Ted Graves, PhD Stanford
-
will work closely with statisticians, computer scientists, oncologists, and epidemiologists in the lab and in other collaborating labs at Stanford to tackle emerging clinical questions in oncology
-
, mouse models, standard molecular biology and biochemistry, FACS/flow-cytometry analysis, genetic manipulation of cells (e.g., CRISPR), and microscopy. Candidates with experience in computational analysis
-
, and traumatic brain injury patients. Building on a long history of transplanting hiPSC-derived cells to promote neural repair in pre-clinical models, this newly funded research program aims to develop
-
traditional 2D geological maps into complex 3D structures by harnessing state-of-the-art data science and machine learning techniques at large scales. The research will use geophysical, geochemical, and