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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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statistics Excellent background in statistical/machine learning Experience in computer vision is a plus Strong motivation for medical and societal applications of computational methods Knowledge of biology and
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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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Artificial Intelligence Motivation Trustworthy artificial intelligence (AI) is a multifaceted concept underpinned by three critical pillars: Trustworthy Machine Learning, Trustworthy Inference (often
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-dimensional Euclidean spaces - Machine learning - Distributed computing - Complexity (communication, queries, memory) - Continuous optimization The specific topic can be refined based on the candidates' skills
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(Project IRP INANOMEP of the CNRS, France-Belgium). The synergy between non-linear optics, theoretical chemistry, and machine learning gives a pronounced interdisciplinary character to the project