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interface (restorative BCI), consist in providing real-time feedback to a patient about his or her own brain activity in order to learn how self-regulate specific brain regions and help him or her perform a
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Research Framework Programme? HE / MSCA Marie Curie Grant Agreement Number 101120240 Is the Job related to staff position within a Research Infrastructure? No Offer Description Machine Learning for Quantum
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experimental campaigns to acquire the data required for his thesis, as well as for the MONI-TREE project as a whole. The PhD will take place in LETG-Rennes, with expected missions to ONERA's Palaiseau for works
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) on the application of machine learning methods. They will then have to implement the best solutions in the TDMx open-source software. This thesis will be co-supervised by Pr Nicolas Grégoire, from the "Pharmacology
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PhD offer in Channel charting and machine learning techniques for massive cell-free MIMO 6G networks
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title Channel charting and machine learning techniques for minimizing the power consumption of massive
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biophysical parameter estimation. The thesis we propose is at the frontier of applied mathematics, image processing/analysis, machine learning, and computer science. The goal is to develop generic image
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, …) are showing serious limitations, especially in view of the increased complexity of communication networks. Research on machine learning (ML) applied to communications is currently attracting incredible interest
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Vidacs to confront optimal transportation approaches to machine learning methods.• One at UNIBO in Bologna for 12 months with prof. Daniel Reomndini to learn and apply techniques of manifold learning
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facial expressions and modifications in speech patterns using NLP and machine learning techniques. This will be achieved by analyzing video recordings of multiple patients, with each recording annotated by
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at EM2C lab, which consists in introducing virtual species and reactions whose thermodynamic and chemical properties are optimized by machine learning algorithms to retrieve properties of reference flames