Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- European Space Agency
- Argonne
- Stony Brook University
- Technical University of Denmark
- Technical University of Munich
- Oak Ridge National Laboratory
- Boston University
- Heriot Watt University
- IMT
- KINGS COLLEGE LONDON
- Leibniz
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- National Renewable Energy Laboratory NREL
- Nature Careers
- UNIVERSITY OF HELSINKI
- University of Southern California
- University of Washington
- Vrije Universiteit Brussel
- Yale University
- 10 more »
- « less
-
Field
-
representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
-
. The HEXAPIC project aims to develop a novel high-performance Particle-In-Cell (PIC) code for plasma physics simulations, leveraging the capabilities of exascale computing systems. By optimizing PIC algorithms
-
identifying climate-resilient restoration sites in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under
-
, AC and DC power sources, power electronic converter modules, battery energy storage system, and AC/DC loads. Develop MATLAB/Simulink models for distribution and transmission systems that include
-
integrate machine learning algorithms and Earth System Models to emulate carbon processes in the ocean connected to the biological activities. You will be enrolled in DTU’s Section for Oceans and Arctic and
-
on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
-
sensor networks, robotics, energy, and Smart Cities • Network systems and economics, cooperative control and optimization, game theory • Distributed algorithms for decision making • Machine learning and
-
in the design, implementation, and maintenance of data pipelines and leading/assisting in building algorithms for deep learning with close collaboration from the study team. While programming
-
, distributed ones. Their low input data requirements and flexible application make them widely used by water managers. While very attractive, these models can be pretty challenging when attempting to compute
-
Description NREL is seeking a postdoc to design, train, and analyze the AI/ML and control algorithms for hybrid energy systems including industrial systems, building controls, and advanced energy systems