Sort by
Refine Your Search
-
Employer
- Stanford University
- University of Minnesota
- University of North Carolina at Chapel Hill
- Wayne State University
- Oak Ridge National Laboratory
- Pennsylvania State University
- Argonne
- Cornell University
- Harvard University
- University of Florida
- Duke University
- New York University
- Northeastern University
- University of Miami
- University of Washington
- Yale University
- Baylor College of Medicine
- Carnegie Mellon University
- Helmholtz Association of German Research Centres
- National Energy Technology Laboratory (NETL)
- Stony Brook University
- The Ohio State University
- The University of Iowa
- University of Texas at Arlington
- Baylor University
- Massachusetts Institute of Technology
- Texas A&M AgriLife
- Texas A&M University
- U.S. Department of Energy (DOE)
- University of California
- Virginia Tech
- East Carolina University
- Indiana University
- Lehigh University
- Michigan State University
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Research Center for Molecular Medicine (CeMM), ÖAW
- South Dakota Mines
- Texas A&m Engineering
- The University of Arizona
- University of California Berkeley
- University of California Irvine
- University of Illinois at Chicago
- University of Maryland, Baltimore
- University of Massachusetts Chan Medical School
- University of Nebraska Medical Center
- University of New Hampshire
- University of New Hampshire – Main Campus
- University of North Carolina at Charlotte
- University of South Carolina
- University of Southern California
- University of Virginia
- Washington University in St. Louis
- 44 more »
- « less
-
Field
-
engineering, or a related field. Strong programming skills in Python and experience developing research or production-quality machine learning software. Experience with machine learning or deep learning
-
Experience with developing AI/ML Deep Learning models, working with agentic workflows, model training and other emerging AI techniques and tools Programming experience in Python, C++, or similar scientific
-
(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming
-
, clinical trials, machine learning, optimization, or related methodological areas. Learning and applying deep learning, agentic AI, and other AI methods in assisting research is encouraged. Research
-
premier, public, urban research university located in the heart of Detroit, Michigan where students from all backgrounds are offered a rich, high-quality education. Our deep-rooted commitment to excellence
-
, deep reinforcement learning, and human-machine interaction. Facilitate strategic collaborations across departments within the College of Engineering and with the UM Miller School of Medicine, to advance
-
. ● Demonstrated expertise in causal inference, with interest in methods development. ● Experience with statistical and ML methods, including at least one of the following: Bayesian methods, deep learning
-
-d ). These values are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better
-
processes Implement models and perform numerical simulations Analyze and interpret simulation and experimental data Integrate AI tools and workflows to enhance modeling and accelerate learning Collaborate
-
-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework