Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- CNRS
- Inria
- Mines Paris - PSL, Centre PERSEE
- Aix-Marseille Université
- Ecole Centrale Marseille
- CEA List Institute
- French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas
- IMT Mines Albi
- INSA Rennes
- Ifremer - French Research Institute for Exploitation of the Sea
- Le Mans University
- Nature Careers
- University Toulouse III - Paul Sabatier
- Université Paris 1 Pantheon-Sorbonne
- Université de Rennes
- Université de Strasbourg
- 6 more »
- « less
-
Field
-
objective will be to develop algorithms for predicting and planning the evolution of local energy systems (microgrids) over a time horizon of several years, using machine learning and numerical optimization
-
: - Apply unsupervised machine learning concepts to the analysis of continuous seismograms recorded in the vicinity of active volcanoes, in order to extract information about the state of the volcano and the
-
mechanical activity at the same time. In this context, the use of mathematical models and machine learning methods can be relevant to integrate physiological knowledge in data analysis and to analyze
-
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
-
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
-
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
-
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
-
of Inria and will be supervised by Nikolaos Georgantas ([email protected] ) and Maroua Bahri ([email protected] ). Mission confiée Automated Machine Learning (AutoML) is an approach
-
professors, teacher-researchers, engineers, and doctoral students. The team is mainly involved in the PALLAS laser-plasma accelerator project. Optimizing Laser-Plasma Accelerators through Machine Learning The
-
specialized in Technology-Enhanced Learning (TEL) and Human-Computer Interaction (HCI). In particular, SICAL has extensive experience in behavior analysis using multimodal data in different contexts, including