Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- AALTO UNIVERSITY
- Technical University of Munich
- Argonne
- European Space Agency
- Oak Ridge National Laboratory
- University of Utah
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- CNRS
- DURHAM UNIVERSITY
- KINGS COLLEGE LONDON
- King's College London
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- UNIVERSITY OF HELSINKI
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Southern Denmark
- University of Washington
- ;
- Aarhus University
- Bucharest Universty of Economic Studies
- Caltech
- Cornell University
- Durham University
- Durham University;
- Eindhoven University of Technology (TU/e)
- IMT Mines Ales
- Inria, the French national research institute for the digital sciences
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- Singapore-MIT Alliance for Research and Technology
- Stony Brook University
- Technical University of Denmark
- Texas A&M University
- The Cyprus Institute
- The Rockefeller University
- The University of North Carolina at Chapel Hill
- Umeå universitet stipendiemodul
- University of Luxembourg
- University of Oxford
- University of Twente
- University of Twente (UT)
- Washington University in St. Louis
- 33 more »
- « less
-
Field
-
National Aeronautics and Space Administration (NASA) | New York City, New York | United States | about 10 hours ago
transfer algorithms for NASA GISS‘s general circulation model (GCM) to study radiative interaction and feedbacks between various atmospheric constituents and the climate system. Potential specific topics
-
, data-limited, and dynamically evolving environments. Applications include complex engineered systems such as intelligent communication networks, distributed computing platforms, and quantum-enhanced
-
, reliability, and consistent behavior. Learning-based controllers can achieve high performance in complex and uncertain environments, yet ensuring predictable operation under distribution shifts, sensor noise
-
self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate
-
research subject for this position is development of distributed processing strategies and algorithms for Large Intelligent Surfaces, including both joint baseband processing and synchronization across
-
. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
-
of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
-
About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis for large-scale and distributed systems. The role focuses
-
related definitions. Knowledge of SOTA federated learning algorithms. Knowledge of distributed optimization and consensus algorithms. Knowledge of large models and hyper-parameter optimization. Knowledge
-
will develop novel and privacy-preserving algorithms that allow distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally