Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Argonne
- Oak Ridge National Laboratory
- Technical University of Munich
- Bucharest Universty of Economic Studies
- National Aeronautics and Space Administration (NASA)
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- Aalborg University
- Cornell University
- DURHAM UNIVERSITY
- European Space Agency
- KINGS COLLEGE LONDON
- Technical University of Denmark
- UNIVERSITY OF HELSINKI
- University of Luxembourg
- University of Utah
- Brookhaven National Laboratory
- CNRS
- Durham University;
- Eindhoven University of Technology (TU/e)
- Fondazione Bruno Kessler
- IMT Mines Ales
- Karlstad University
- Linköping University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Mälardalen University
- Nature Careers
- Rutgers University
- Singapore-MIT Alliance for Research and Technology
- Texas A&M University
- The Rockefeller University
- Umeå universitet stipendiemodul
- Universidade do Algarve
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University College Dublin
- University of Oxford
- University of Twente
- University of Washington
- 27 more »
- « less
-
Field
-
Duties/Tasks: Research and Development Formulate and analyze models for transmission/distribution, microgrids, and shipboard power systems (steady-state and dynamic). Design optimization and control
-
for physical AI systems that learn and adapt through continuous exposure to multimodal sensory and radio data, and acts upon real-world environment through distributed coordination and control. Emphasis will be
-
algorithms for critical equipment (e.g., compressors, reaction kettles). Research advanced process control strategies and deploy them on the center's distributed control systems and edge computing devices
-
at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks
-
of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed
-
) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
-
contribute to the development of fundamental aspects of computer science (models, languages, methodologies, algorithms) and to address conceptual, technological, and societal challenges. The LIG 22 research
-
weather can severely harm our society, for example through the generation of Geomagnetically Induced Currents (GICs) that can short-circuit through power distribution systems and cause blackouts. To enable
-
algorithms, architectures, and learning strategies that fundamentally challenge existing resource constraints in large-scale AI systems. Prototype, implement, and rigorously evaluate complex machine learning
-
as soon as possible but must be available to start by 1 April 2026 at the latest. This project aims to develop superconducting microwave interconnects and metasurfaces for distributed quantum networks