Sort by
Refine Your Search
-
Listed
-
Employer
- Zintellect
- Harvard University
- Cornell University
- University of Michigan
- Nature Careers
- City of Hope
- Johns Hopkins University
- University of South Carolina
- Carnegie Mellon University
- Stanford University
- University of North Carolina at Charlotte
- New York University
- Northeastern University
- The California State University
- University of Colorado
- Central Michigan University
- Dana-Farber Cancer Institute
- Princeton University
- University of Alabama, Tuscaloosa
- University of Arkansas
- Boston College
- California State University, San Bernardino
- Hobart and William Smith Colleges
- Medical College of Wisconsin
- SUNY University at Buffalo
- The University of Memphis
- University of California Los Angeles
- University of Texas at Austin
- American University
- Auburn University
- Center for Devices and Radiological Health (CDRH)
- Duke University
- Indiana University
- Lawrence Berkeley National Laboratory
- Lawrence Berkeley National Laboratory - Physics
- Loyola University
- Montana State University
- Oak Ridge National Laboratory
- Rutgers University
- Saint Louis University
- Syracuse University
- The University of Chicago
- University of California, Los Angeles
- University of Cincinnati
- University of Denver
- University of Kansas Medical Center
- University of Massachusetts
- University of North Carolina at Chapel Hill
- University of Rhode Island
- University of Tennessee Medical Center at Knoxville
- University of Utah
- Yeshiva University
- 42 more »
- « less
-
Field
-
, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
-
of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
-
or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research
-
. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program. Located in
-
-omics liquid biopsy data for minimal residual disease (MRD) detection, quantification, and assessment. This project will involve applying and evaluating statistical and machine learning models for data
-
initiatives in support of Division scientific goals · Collaborate with staff implementing advanced data pipelines, including applications of machine learning and AI for clinical prediction and identification
-
What You’ll Need: PhD in computer science, artificial intelligence, machine learning, computational biology, biomedical engineering, or a closely related quantitative field. Strong foundation in modern
-
status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment
-
with real-world samples, and effectively integrating them with microfluidics as a standalone device. This is a great opportunity to learn new skills, contribute to assay development, and intellectually
-
Clinic. Responsibilities include (i) supervising law students on cases and impact advocacy projects, and serving as a mentor and role model to law students in the clinics; (ii) helping to design and teach