Sort by
Refine Your Search
-
Listed
-
Employer
- Harvard University
- University of Michigan
- Johns Hopkins University
- Northeastern University
- Carnegie Mellon University
- Simons Foundation
- University of Cincinnati
- Colorado State University
- George Mason University
- Korea Institute for Advanced Study
- Simons Foundation/Flatiron Institute
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Maryland, Baltimore
- University of Michigan - Flint
- Zintellect
- AbbVie
- Arizona State University
- City of Hope
- Embry-Riddle Aeronautical University
- Florida Atlantic University
- Genentech
- Indiana University
- Lawrence Berkeley National Laboratory
- Marquette University
- Massachusetts Institute of Technology
- Miami University
- Nature Careers
- New York University
- The University of North Carolina at Chapel Hill
- University of California
- University of Michigan - Ann Arbor
- University of North Carolina at Chapel Hill
- University of San Francisco
- University of Texas at Austin
- 25 more »
- « less
-
Field
-
, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models, with objectives to amplify
-
. The second pertains to a NASA-funded project to design and fly an airborne water vapor Lidar sensor at supersonic speeds. In either role, the successful applicant will apply optical analysis techniques (theory
-
with applications to aerospace systems Designing, implementing, and testing control algorithms in simulation and hardware platforms Contributing to publications and reports; presenting research findings
-
learning, and data science, focusing on applications within the healthcare, education, and environment sectors. Designs generative AI techniques and algorithms for data integration and computational models
-
at intersections through real-time detection, classification, and tracking of vulnerable road users (VRUs) using advanced sensing technologies and artificial intelligence algorithms. The appointment is tentatively
-
Medicine and Bioinformatics. The specific objectives of the project are to (i) deploy network analysis methods to genomic data (50%), and (ii) develop such algorithms including community detection algorithms
-
and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
-
sensors or inductive sensors, and demonstrate temperature readout of magnetic nano-objects engineered with high thermosensitivity. For the past 6 years, our team has been developing instrumentation
-
science, with a particular focus on neuroscience applications. Designs AI techniques and algorithms for multimodal data fusion (e.g., MRI, EEG, cognitive and behavioral data, blood biomarkers, and
-
apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and