Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
combined with Machine Learning algorithms, this thesis aims to study long-term temporal trends in tropospheric ozone (O3) in Europe across different type of environments (background, rural, urban), while
-
Technologies du Langage) department. This team specializes in machine learning methods applied to language processing and has extensive experience and international recognition in speech technologies. Where
-
of Research ExperienceNone Additional Information Eligibility criteria The applicant should have a PhD in astrophysics or an equivalent qualification (e.g., in signal processing and machine learning). Skills in
-
Inria, the French national research institute for the digital sciences | Lille, Nord Pas de Calais | France | 2 months ago
Research Framework Programme? Not funded by a EU programme Reference Number 2025-08662 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD thesis will be
-
(FL) is a promising paradigm that is gaining grip in the context of privacy-preserving machine learning for edge computing systems [1]. Thanks to FL, several data owners called clients (e.g
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
processing tasks, including machine learning and deep learning [4]–[6], database processing [7], [8], and networking [9]. Near-memory computing (NMC) is a memory-centric computing paradigm that has emerged as
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
Jules Verne and the Rainbow team of the Inria centre at Rennes University are offering a PhD thesis entitled “Forming carbon fiber fabrics using visual servoing”. Thesis location: The thesis work will
-
Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 months ago
for the management of electricity markets. At the scientific level, the integration of pollution constraints and learning models into ``multi-leader single follower" optimization models represents a major challenge
-
organized in four poles: “Computer Mathematics”, “Data Analytics and Machine Learning”, “Efficient and Secure Communications”, “Modeling, Simulation and Learning” and “Proofs and Algorithms”. The Ph.D