Sort by
Refine Your Search
-
ejection (CME) impacts, but also outside CME periods, when plasma jets are detected. It will involve developing a machine-learning detection tool to extend the event databases corresponding to conjunctions
-
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
-
, background in black-box optimization and machine learning are a plus. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7606-CARDOE-006/Default.aspx Work Location(s) Number of offers
-
simulation and/or machine-learning is required, as well as a good knowledge of associated theoretical tools (statistical physics of liquids, ...; programming experience among: Python, Fortran, C, C++, ...). A
-
machine learning model on traffic features. And yet, these models have not made the transition to practice at ISPs. While inference models have shown to be accurate, their adoption has been slowed by
-
particular their detection using at least one of the above methods. - Languages and coding: python (essential), good background in Computer Sciences (expertise in AI/deep learning welcome). Values: enthusiasm
-
generation of scientists capable of linking large data sets, machine learning and deterministic models in Earth Sciences. The integration of entrepreneurial skills into the curriculum will also prepare the 13