Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- Portugal
- France
- Netherlands
- Sweden
- Spain
- Denmark
- Singapore
- Belgium
- United Arab Emirates
- Italy
- Austria
- Norway
- Poland
- Finland
- Romania
- Australia
- Morocco
- Canada
- China
- Luxembourg
- Switzerland
- Hong Kong
- Japan
- Greece
- Brazil
- Croatia
- Estonia
- Cyprus
- Czech
- Malta
- Saudi Arabia
- Taiwan
- Bulgaria
- Ireland
- Israel
- Lithuania
- Andorra
- Armenia
- India
- New Zealand
- Slovakia
- Worldwide
- 35 more »
- « less
-
Program
-
Field
-
of Artificial Intelligence in Green Algorithms Research line / Scientific-technical services: Development of algorithms that are energy efficient Grant/funding period: START: 01/05/2024 END: 31/03/2027 Centre
-
Language Models (LLMs) Computer Vision and Multimodal Intelligence Natural Language Processing Machine Learning Theory and Algorithms Reinforcement Learning and Decision Intelligence Generative AI and
-
The Division of Synchrotron Radiation Research (http://www.sljus.lu.se ) is a part of the Department of Physics and has more than 50 employees. The focus of the research is on experimental studies
-
algorithms. The aim is to develop a high-performance intelligent motor control system that enables greater sustainability, safety and efficiency of the e-bike's energy system, in order to meet the requirements
-
Software Engineering, Software Project Management, Data Structures and Algorithms and Data Base Systems. The Artificial Intelligence and Data Science Programmes has modules in Natural Language Processing
-
: OBJECTIVES | FUNCTIONS Develop algorithms for pre-processing of spectra, by analysing user-uploaded files to identify their origin, confirm spectra presence, and assess spectrum quality. Implement novel AI
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 10 days ago
component to conceive novel setups and collect data to compare with simulations. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09688 Requirements Skills/Qualifications
-
position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science We are looking for two highly motivated individuals to pursue a Ph.D. in algorithms
-
for designing and predicting quantum materials/systems/devices; error correction and fault-tolerant architectures; novel quantum algorithms for near-term and fault-tolerant quantum computing; quantum advantage
-
Programme? Not funded by a EU programme Reference Number AE2025-0601 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https