215 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions in United States
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Harvard University
- University of Michigan
- City of Hope
- Nature Careers
- Indiana University
- Carnegie Mellon University
- University of Texas at Austin
- Auburn University
- Lawrence Berkeley National Laboratory
- The University of Alabama
- University of Maryland, Baltimore
- Villanova University
- Stony Brook University
- University of Colorado
- University of Kansas Medical Center
- University of North Carolina at Charlotte
- American University
- Brown University
- Colgate University
- Cornell University
- Duke University
- Northeastern University
- The University of Iowa
- Tulane University
- University of Virginia
- Vanderbilt University
- Yeshiva University
- Barnard College
- Belmont University
- Case Western Reserve University
- Center for Devices and Radiological Health (CDRH)
- Cold Spring Harbor Laboratory
- Colorado State University
- Creighton University
- Emory University
- George Mason University
- Missouri University of Science and Technology
- SUNY
- Texas A&M University
- The Ohio State University
- The University of Memphis
- Tulsa Community College
- University of California
- University of Denver
- University of Kentucky
- University of Massachusetts Dartmouth
- University of Miami
- University of Pittsburgh;
- University of Tennessee Medical Center at Knoxville
- University of Texas at Dallas
- University of Vermont Medical Center
- Utah Valley University
- Virginia Tech
- Zintellect
- 44 more »
- « less
-
Field
-
, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
-
on projects at the intersection of computational neuroscience and machine learning. This position is part of a multi-investigator grant on the role of memory in intelligence systems. The Postdoctoral Fellow
-
of childhood allergic diseases. The candidate will develop machine learning–based biomarker prediction models to identify microbiome-derived signatures associated with allergy risk and immune tolerance outcomes
-
successful candidate, you will: This project with Dr. Nagarajan Vaidehi involves developing and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in
-
analysis, PDE-constrained optimization and optimal control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and
-
Qualifications Experience with machine learning and AI models. Ability to communicate clearly with colleagues, Data presentations Scientific publication experience Special Instructions Priority Application Review
-
applications for a Postdoctoral Fellow with Professor Pragya Sur. Professor Sur’s lab focuses on research in high-dimensional statistics, machine learning theory, or more broadly, mathematical foundations of AI
-
research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
-
2). Vascular network engineering and angiogenesis 3). Applications of machine learning in cell and tissue engineering The Disease Biophysics Group is a creative, transdisciplinary group of engineers
-
across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and electricity