Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Universite de Moncton
- Imperial College London
- Temple University
- University of British Columbia
- Brookhaven Lab
- CSIRO
- California Institute of Technology
- Duke University
- FUNDACIO INSTITU DE RECERCA EN ENERGIA DE CATALUNYA
- National Institute for Bioprocessing Research and Training (NIBRT)
- Simula Metropolitan Center for Digital Engineering
- State University of New York University at Albany
- The University of Chicago
- University of Antwerp
- University of Lund
- Uppsala University
- 6 more »
- « less
-
Field
-
batteries. Design and implement optimization algorithms for the management of shared or collective storage systems. Contribute to the design and validation of new business models for distributed storage
-
23 Aug 2025 Job Information Organisation/Company Simula Metropolitan Center for Digital Engineering Research Field Computer science » Other Researcher Profile Leading Researcher (R4) Established
-
You will join the EPSRC-funded project “Behavioural Data-Driven Coalitional Control for Buildings”, pioneering distributed, data-driven control methods enabling groups of buildings to form
-
artificielle (IA) (CPU, GPU, accélérateurs d'IA, etc.) nécessitent une puissance élevée et des réseaux de distribution d'énergie (PDN) optimisés pour améliorer l'efficacité en puissance et préserver son
-
, transmission and distribution systems (in near real-time and longer-term timeframes). Developing approaches and techniques for solving grid challenges associated with renewable energy integration, managing
-
) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
-
for computation. This is especially useful for distributed and federated AI, where the input of one node is often a function combining the output of many other nodes. AirComp offers a significant scalability and
-
(HPC) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution
-
computational tools to support the safe and ethical deployment of AI in clinical settings. The research focus is on AI performance monitoring, distribution shift detection, bias assessment, and stress testing
-
State University of New York University at Albany | Albany, New York | United States | about 12 hours ago
, New York State's capital, the University is convenient to Boston, New York City, and the Adirondacks. Job Description: The Center for Technology in Government (CTG UAlbany) at the University at Albany