Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
The FUNR Lab at Stanford University (https://www.funrscience.com ), of the Departments of Biochemistry and Developmental Biology and supervised by Florentine Rutaganira, is seeking a Life Science Research
-
the Department of Radiology, Division of Interventional Radiology, at Stanford University is seeking a highly motivated postdoctoral fellow with expertise in biomedical engineering or a related field. The lab
-
data sets data using advanced computational informatics software. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field and two years of relevant work experience; or Master's
-
theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly learn and master computer
-
the most practical, science-based solutions for addressing some of society's most pervasive and preventable health issues, such as obesity, diabetes, hypertension, and other chronic conditions and to raise
-
Biology. The AA will report directly to the Division Manager in the Department of Radiation Oncology and will support 3 faculty members and administrative tasks for the Division. The AA3 will provide
-
Note: Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S. This position has been deemed critical by the School of Engineering Dean's Office
-
. Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. Ability to maintain detailed records of experiments and outcomes. General computer skills and ability to quickly
-
schools in implementing and new technology for screening and assessment through a collaborative research practice partnership model. Serve as the point of contact for new school district partners. Work with
-
Biomedical Data Science, Research IT, and Research Informatics Center. The incumbent will work with a combination of structured and unstructured (text, imaging) data from several sources, including Stanford's