Sort by
Refine Your Search
-
Listed
-
Country
- United States
- France
- United Kingdom
- Italy
- Sweden
- Germany
- Singapore
- Spain
- Belgium
- Poland
- Denmark
- Portugal
- Netherlands
- United Arab Emirates
- Austria
- Hong Kong
- Australia
- Worldwide
- Canada
- Czech
- Luxembourg
- Malta
- China
- India
- Ireland
- Andorra
- Japan
- Armenia
- Bulgaria
- Cyprus
- Estonia
- Europe
- Finland
- Mexico
- New Zealand
- Romania
- Slovakia
- 27 more »
- « less
-
Field
-
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
-
? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The project focuses on the development of advanced models and algorithms
-
algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development
-
, and bio-inspired computation, in close collaboration with clinical and industrial partners. About the research project This project focuses on developing next-generation neuroprosthetic systems
-
of life. The contribution of POLIMI focuses on integrating this technology with the development, optimization, and validation of an AI-assisted computational platform, based on advanced algorithms, capable
-
. 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
-
, contribute to cutting-edge research in the field of emerging sensing technology, and research publications. Develop, test and evaluate novel AI algorithms to advance multi-modal sensing in resource constrained
-
associated with the implementation of new systems may generate environmental or social conflicts. Expected contributions of the Thesis The aim of this project is to develop and validate a model to help
-
university community. Key Responsibilities: Conduct comprehensive literature reviews to identify existing solutions and their limitations, and develop advanced NLP algorithms for multimodal data. Design and
-
the activities of GT3. The initial phases will focus on studying the ideal frameworks for creating the IT platform and developing AI algorithms for data analysis. In particular, the data storage structure will be