Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- CNRS
- Inria
- Aix-Marseille Université
- Mines Paris - PSL, Centre PERSEE
- Ecole Centrale Marseille
- INSA Rennes
- CEA
- CEA List Institute
- CentraleSupélec
- Ecole Nationale Supérieure des Mines de Saint Etienne
- French National Institute for Agriculture, Food, and Environment (INRAE), Jouy-en-Josas
- Heudiasyc CNRS
- IFP Energies nouvelles (IFPEN)
- IMT Mines Albi
- Ifremer - French Research Institute for Exploitation of the Sea
- Inria Nancy - Grand Est
- Institut Pascal
- KREATiS
- Le Mans University
- University Toulouse III - Paul Sabatier
- Université Paris 1 Pantheon-Sorbonne
- Université de Poitiers - INSERM U1070
- Université de Rennes
- Université de Strasbourg
- 14 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
-
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
-
) 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
-
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
-
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
-
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
-
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