Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United Kingdom
- United States
- Germany
- Netherlands
- Belgium
- United Arab Emirates
- Switzerland
- Portugal
- Sweden
- Norway
- Denmark
- France
- Austria
- Australia
- Canada
- Luxembourg
- Poland
- Finland
- Romania
- Singapore
- Estonia
- Hong Kong
- Malta
- Italy
- Saudi Arabia
- Brazil
- China
- Andorra
- Ireland
- Israel
- Slovenia
- Spain
- 22 more »
- « less
-
Program
-
Field
-
motivated post-doctoral associate with a strong background in game theory, control systems, and/or learning theory to join the research team of Prof. Muhammad Umar B. Niazi. The position focuses on the design
-
researcher in algorithmic game theory and/or online learning, working with Prof. Celli at BIDSA and the Department of Computing Sciences. The project studies how multiple machine learning algorithms interact
-
collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
-
decoding of high-resolution electroencephalography (EEG). Working with Prof Coyle and the Turing AI Fellowship team at the Bath Institute for the Augmented Human, the Research Associate will:- Design and
-
group of Prof. Felix Deschler under the remit of the collaborative research center SFB 1249. The positions are available immediately (fixed term contract, end of funding period 31.12.2028). These 3-year
-
on rapid and accurate quantification of disasters using remote sensing and space geodesy. They will also advance InSAR processing algorithms to optimise change detection capability in Southeast Asia, where
-
the Principal Investigator Profs. Himanshu Gupta and CR Ramakrishnan in the Quantum Computing and Network Center of Stony Brook University's Department of Computer Science. Supported by significant
-
constraints across the FR3 band. You will propose novel transceiver architectures and communication algorithms offering flexibility and the best power-performance trade-offs. You will also investigate how
-
-scaled CMOS models. Advanced algorithms and architectures need investigation of power-consumption trade-offs. For instance, digital predistortion (DPD) can enhance power amplifier efficiency but
-
this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent