Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- University of Michigan
- AbbVie
- Northeastern University
- Indiana University
- University of South Carolina
- University of Michigan - Ann Arbor
- University of Texas at Austin
- Nature Careers
- Stanford University
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Colorado
- City of Hope
- Duke University
- Loyola University
- SUNY University at Buffalo
- Simons Foundation
- University of California
- American University
- Arizona State University
- Auburn University
- Carnegie Mellon University
- Colorado State University
- Cornell University
- Drexel University
- Genentech
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Medical College of Wisconsin
- Montana State University
- National Renewable Energy Laboratory NREL
- New York University
- Saint Louis University
- Simons Foundation;
- The University of Arizona
- Tufts University
- University of California Davis
- University of Cincinnati
- University of Maryland
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Utah
- Zintellect
- 34 more »
- « less
-
Field
-
contribute to overall lab operations. The applicant will be a collaborative, impact-focused problem solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber
-
manufacturing and maturation of cells and engineered tissues at low cost, and simple biofabrication technologies to build clinical-scale constructs. Learn more about the innovative work led by Dr. Chris Chen here
-
integrating them with microfluidics as a standalone device. This is a great opportunity to learn new skills, contribute to assay development, and intellectually contribute to projects within a collaborative
-
collaborative, impact-focused problem solver who wants to be part of a dynamic team. Information about the Shih Lab: Learn more about the innovative work led by Dr. William Shih here: https
-
factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and
-
. Researching and developing novel machine learning architectures for integration across multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and
-
integrating them with microfluidics as a standalone device. This is a great opportunity to learn new skills, contribute to assay development, and intellectually contribute to projects within a collaborative
-
Data Science, Human Centered AI, and the SLAC Machine Learning Program. KIPAC also has strong ties and active collaborations with theorists at LITP @ Stanford and SLAC. The positions offer a competitive
-
About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a
-
Experience M.D. or PhD Required Qualifications Interest in research and scholarship related to migration studies. Previous experience with working with refugees. Immigrants, and immigrant and first-generation