Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- France
- Italy
- Sweden
- Germany
- Poland
- Spain
- Singapore
- Belgium
- Portugal
- United Arab Emirates
- Denmark
- Netherlands
- Worldwide
- Australia
- Canada
- Malta
- Austria
- China
- Hong Kong
- India
- Ireland
- Romania
- Andorra
- Greece
- Japan
- Luxembourg
- Armenia
- Bulgaria
- Czech
- Europe
- Finland
- Mexico
- New Zealand
- Slovakia
- 26 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Mathematics
- Science
- Electrical Engineering
- Materials Science
- Chemistry
- Business
- Earth Sciences
- Humanities
- Physics
- Psychology
- Linguistics
- Philosophy
- Social Sciences
- Arts and Literature
- Education
- Environment
- Law
- Sports and Recreation
- 13 more »
- « less
-
research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
-
About the Opportunity Job Description: The Open6G group at the Institute for the Intelligent Networked Systems (INSI), Northeastern University, is leading research and development, testing and
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The research program aims to develop new sensing algorithms integrated
-
: * Collect, manage and clean datasets. * Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. * Create databases and reports, develop algorithms and
-
between the brain signals of different subjects. The aim of this project is developing new adaptive and machine learning algorithms to successfully decode brain signals across subjects. The prospective
-
/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective students can
-
-world mechanical and electromechanical systems. A successful candidate is expected to demonstrate the deep expertise required to develop and apply AI algorithms that interact directly with physical
-
candidates must thus have a strong interest in algorithmic development as well as embedded hardware integration. Role and responsibilities This PhD project will be executed in close cooperation with
-
evolution of satellite communication systems, driven by the deployment of large Low Earth Orbit (LEO) constellations and the integration of non-terrestrial networks into future 6G infrastructures, is
-
project team regularly use for the production of model colloidal films, ceramic dielectrics, photovoltaics and battery electrodes to provide the datasets required to educate the machine learning algorithms