Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- France
- Italy
- Germany
- Spain
- Poland
- Belgium
- Singapore
- Portugal
- United Arab Emirates
- Denmark
- Netherlands
- Australia
- Worldwide
- Canada
- Romania
- China
- Hong Kong
- Ireland
- Andorra
- Austria
- Greece
- India
- Japan
- Luxembourg
- Malta
- Armenia
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 24 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Mathematics
- Biology
- Economics
- Science
- Chemistry
- Electrical Engineering
- Materials Science
- Business
- Humanities
- Linguistics
- Physics
- Psychology
- Philosophy
- Social Sciences
- Arts and Literature
- Earth Sciences
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
theory and experiment to harness the power of AI/ML in developing new quantum algorithms and AI-assisted quantum systems. Areas could include AI-driven quantum networks; quantum circuits and control
-
. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically
-
et al, 2nd edition https://www.genome-scale.info/ ). The candidate will develop efficient programs that implement the designed algorithms, and run computational analyses. The results can be confronted
-
About the Opportunity Job Summary: The Open6G group at the Institute for the Intelligent Networked Systems (INSI), Northeastern University, is leading research and development, testing and
-
experimental research as well as data analysis and algorithm development. Students with either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in engineering, mathematics, neuroscience
-
Austrian Academy of Sciences, the Johann Radon Institute for Computational and Applied Mathematics (RICAM) | Austria | 9 days ago
expressivity and complexity of neural networks and neural operators, as well as on the development of novel algorithms connecting theory with practice. For more information contact Dr. Ahmed Abdeljawad
-
The Associate in Research will be responsible for using and developing computational algorithms to analyze single-cell and spatial-omics datasets. Specifically, we have multiple projects where we are generating
-
. The ultimate goal is to develop theory and methods for the construction of low-complexity invariant sets, using computationally tractable algorithms. Funding Notes This is a self-funded research project. We
-
Discovery”, with a strong scientific and environmental ambition: developing lower-footprint AI methods for real inverse problems in nondestructive evaluation. The topic has already passed the first ENACT
-
mathematical theory and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive