Overview

The Canary Center for cancer early detection will offer a 1-year graduate fellowship in collaboration with the International Alliance for Cancer Early Detection (ACED). The goal of this initiative is to foster a unique interdisciplinary graduate fellowship with a cancer early detection focus combining one or multiple fields including molecular imaging, proteomics, chemistry, cell and molecular biology, and bioinformatics.

Focus areas include but are not limited to the following:

• New or improved Diagnostic Mechanisms, e.g., genomics, molecular diagnostics, and home/point of care diagnostics.
• Advanced Analytics, e.g., deep learning on unstructured data, integration of genomics, pathology and imaging data, and early predictive biomarkers of disease onset.
• Imaging Modalities, e.g., clinical decision support, advancement of imaging modalities, imaging quantitation, human-computer interfaces for image interaction, and image segmentation/feature extraction.

Eligibility

• Applications in response to this RFP will be solicited from Stanford graduate students who are or who will be working in the laboratory of a Stanford faculty member affiliated with the Canary Center.
• Applicants must be part of a Stanford PhD program.
• A Graduate Fellow may submit only one application.
• The award mechanism will support only the Graduate Fellow. Support for additional individuals (e.g., Investigators, Co-Investigators) is not permitted.
• Applicants are highly encouraged to participate in the ACED curriculum in addition to their Stanford home graduate program.

Submissions 

Submissions to this graduate fellowship opportunity should be made using the following link: https://seedfunding.stanford.edu/apply/C7Q3

Application Deadline: October 3, 2022 at 5pm

Contact/Questions?

Questions regarding this graduate fellowship Program should be directed to Dr. Ryan Spitler (Deputy Director, Canary) who can be reached by email at (rspitler@stanford.edu) .

Please note, applications do not need to go through the Stanford Research Management Group (RMG).