Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- Oak Ridge National Laboratory
- Nanyang Technological University
- University of Texas at Austin
- Stony Brook University
- University of Michigan
- University of British Columbia
- Carnegie Mellon University
- Duke University
- NEW YORK UNIVERSITY ABU DHABI
- University of Bergen
- University of Washington
- Princeton University
- The University of Chicago
- Florida International University
- Northeastern University
- Stanford University
- University of California, San Diego
- DAAD
- Monash University
- CNRS
- ETH Zurich
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NIST
- National University of Singapore
- University of Virginia
- Zintellect
- ;
- Johns Hopkins University
- University of California
- University of Michigan - Ann Arbor
- University of North Carolina at Chapel Hill
- Cornell University
- Cranfield University
- Dana-Farber Cancer Institute
- Fraunhofer-Gesellschaft
- Instituto Pedro Nunes
- Michigan State University
- Pennsylvania State University
- SUNY University at Buffalo
- Technical University of Munich
- Texas A&M University System
- The University of British Columbia (UBC)
- University of Adelaide
- University of Amsterdam (UvA)
- University of Central Florida
- University of Colorado
- University of Dayton
- University of Florida
- University of Southern California
- University of Southern Denmark
- Vrije Universiteit Brussel
- Bowling Green State University
- Cedars Sinai Medical Center
- DePaul University
- Durham University
- Embry-Riddle Aeronautical University
- Forschungszentrum Jülich
- George Washington University
- Harvard University
- Imperial College London
- KINGS COLLEGE LONDON
- Lunds universitet
- Marquette University
- Rochester Institute of Technology
- Singapore Institute of Technology
- Southwest Tennessee Community College
- Technical University of Denmark
- Temple University
- Texas A&M AgriLife
- Texas A&M University
- The Ohio State University
- The University of Arizona
- University of Alabama at Birmingham
- University of Amsterdam (UvA); Amsterdam
- University of California, Merced
- University of California, San Francisco
- University of Cambridge;
- University of Cincinnati
- University of Glasgow
- University of Massachusetts Medical School
- University of Miami
- University of Minnesota
- University of Missouri
- University of Nebraska–Lincoln
- University of Sheffield
- University of South Carolina
- University of Southern California (USC)
- University of Surrey;
- University of Texas at Dallas
- University of Turku
- Utah Valley University
- Wageningen University & Research
- Western Norway University of Applied Sciences
- William and Mary
- ; University of Sheffield
- ; University of Southampton
- AALTO UNIVERSITY
- AIT Austrian Institute of Technology
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- 90 more »
- « less
-
Field
-
. 5) Testing: Rigorous validation of simulation models and the effectiveness of suggested strategies through multiple race scenarios. Optimisation of algorithms based on the results obtained and
-
on the development of artificial intelligence/machine learning algorithms to integrate multiple sources of patient-derived data, such as optical coherence tomography (OCT), retinal fundus photography (RFP), electronic
-
researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
-
electrode arrays - 20% data analysis with advanced methods such as multiple regression, fourier domain algorithms, modern statistical approaches - 5% paper preparation including writing text, making figures
-
modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
-
, the scattering geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer
-
transforming society by powering autonomous vehicles, providing strategic advantages through large-scale data analytics, and enabling intelligent applications across multiple domains. However, conventional von
-
site-specific and realistic radio propagation data through GPU-accelerated ray tracing to train AI/ML algorithms. Exploring the use of generative models for wireless channel modeling, e.g., to produce
-
. The research involves the development of machine learning algorithms and MR pulse sequences for next-generation computational MRI. The research will be conducted at the Electrical and Computer Engineering and
-
create new mathematical approaches, algorithms and software to advance scientific research in multiple disciplines, often in collaboration with other Flatiron Centers. CCM has particularly strong research