Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Education
- Engineering
- Business
- Biology
- Medical Sciences
- Electrical Engineering
- Earth Sciences
- Psychology
- Statistics
- Chemistry
- Physics
- Social Sciences
- Environment
- Materials Science
- Arts and Literature
- Humanities
- Sports and Recreation
- Design
- Law
- Mathematics
- Philosophy
- Science
- 13 more »
- « less
-
Systems, Electromagnetic Compatibility and Signal/Power Integrity, RFIC/MMIC, Advanced Packaging and Heterogeneous Integration •Communications, Signal Processing, Optimization, Information Theory, Coding
-
component, notably through the production and dissemination of a film presenting the project. Supervision Prof. Radouane EL YAGOUBI – Neuroscience, CLLE Laboratory Dr Amel AISSAOUI – Signal Processing
-
Action (MSCA) Doctoral Candidate position in integrated circuits and signal processing for large-array transceivers in next-generation communication systems. The position is part of the EU-funded MSCA
-
Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 9 days ago
telecommunications, as well as in signal processing and AI. Ideally, it should have experience to deal with real connected devices and implemnet experimental validation. Languages FRENCH Level Basic Languages
-
Requirements Research Field Mathematics Education Level Master Degree or equivalent Skills/Qualifications A recent MSc in applied mathematics, statistics, data analysis, signal processing, atmospheric
-
parties. Keep informed of developments in the field of machine learning and its application to the problem domain. Selection Criteria Essential: Hold a relevant Ph.D/D.Phil in AI, signal processing, or a
-
in machine learning and deep learning methods, particularly for time series and spatial data Solid knowledge of neuroimaging (fMRI, ECoG, MEG) and signal processing Skills in scientific programming
-
two companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting
-
, signal and image processing, data-driven and physics-based models, as well as clinical validation and implementation. Neuroengineering increasingly incorporates AI‑based approaches to support
-
languages ( e.g. , Python, C++) for algorithm development, simulation, and data analysis Background in real-time signal processing ( e.g. , time-series data, filtering, feature extraction