Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Delft University of Technology (TU Delft)
- Inria, the French national research institute for the digital sciences
- Chalmers University of Technology
- Oak Ridge National Laboratory
- Carnegie Mellon University
- KTH Royal Institute of Technology
- Pennsylvania State University
- Singapore-MIT Alliance for Research and Technology
- Yale University
- AALTO UNIVERSITY
- Baylor College of Medicine
- DURHAM UNIVERSITY
- Eindhoven University of Technology (TU/e)
- FAPESP - São Paulo Research Foundation
- Massachusetts Institute of Technology
- National Energy Technology Laboratory (NETL)
- New York University
- Northeastern University
- Rutgers University
- Technical University of Munich
- Texas A&m Engineering
- University of Maryland, Baltimore
- Aarhus University
- Argonne
- Beijing Academy of Quantum Information Sciences
- Boston University
- Brookhaven National Laboratory
- California Institute of Technology
- Cornell University
- ETH Zürich
- Great Bay University
- Högskolan i Skövde
- Institute of Physical Chemistry, Polish Academy of Sciences
- King Abdullah University of Science and Technology
- Luleå University of Technology
- Rochester Institute of Technology
- SRON
- University of Arkansas
- University of Florida
- University of Illinois at Chicago
- University of Luxembourg
- University of Virginia
- University of Washington
- Villanova University
- Warsaw University of Technology
- 36 more »
- « less
-
Field
-
. Developing the algorithms, infrastructure, and governance necessary for such analysis can simultaneously enhance hypothesis generation, computational modeling, and post hoc support for laboratory studies and
-
Responsibilities Conduct research in computational methods for environmental and engineering applications. Develop and analyze numerical algorithms, reduced-order models, and machine-learning-enhanced simulation
-
genuine intellectual exchange, direct technical engagement in algorithm and model development, and shared co-ownership of the science. • Active Collaboration. The PI maintains an open-door policy, meets
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
: speech processing, computer vision, machine learning, solid programmming skills interest in connecting AI with human cognition Prior experience with LLM, SpeechLMs, RL algorithms, or robotic platforms is a
-
safety-oriented control algorithms. · Investigate thermal management, fire suppression, and propagation-mitigation strategies for safer battery module and pack design. · Prepare technical reports
-
that amplify human potential. The successful candidate will engage in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems
-
optimization algorithms for complex trial design spaces. Required qualifications: A PhD or equivalent doctoral degree in biostatistics, statistics, applied mathematics, operations research, computer science
-
in innovative research projects in ML, focusing on developing novel ML algorithms, enhancing human-AI collaboration, and exploring systems tailored to dynamic, human-centered environments. They may
-
will have a strong background in wireless communication, signal processing, and machine learning. They should also possess the skills necessary to develop complex models, algorithms, and simulations
-
for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized