24 machine-learning positions at CNRS in phd

PhD contract: characterization of volcanic processes using continuous seismic data analysis and machine learning (M/F)

: - 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

PhD (M/F) Analysis of tree physiology in urban environments: modeling and machine learning using optical and radar imagery

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 (M/F) Study of behaviours predictive of well-being and school persistence

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

PhD Position in Physics (M/F)

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

PHD Student in Neuromorphic attention models for event data (M/F)

of Research ExperienceNone Additional Information Additional comments Programming skills in Python/C++ are expected, as well as an interest in research, machine learning, bio-inspiration, electronics, and

PhD Thesis (M/F) Transverse Santé : Deep learning approaches for the analysis of NMR spectra applied to schizophrenia

in the field of medical imaging. The team particularly studies the potential of machine learning methods for an efficient and relevant representation of medical data such as images. The challenges

(M/F) PhD offer : Automatic prediction of intonation from speech gestures

machine learning, speech science, cognition and behavioural studies. If all disciplines are addressed in this PhD position, candidates without expertise in some of the areas listed below are nevertheless

PHD Candidate (M/F/D) Numerical design of bottom-up fabricated optical Huygens metasurfaces

is an impossible task in metasurfaces composed of millions of elements. The PhD aims to develop methods using machine learning surrogate models to solve this complex design problem. The project aims

M/F: PhD: Localization and map building for a fleet of agricultural outdoor field robots

, control, machine learning. Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldComputer scienceEducation LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD

PhD Student (M/F) at IRIF - Algorithms and complexity related to quantum computing

-dimensional Euclidean spaces - Machine learning - Distributed computing - Complexity (communication, queries, memory) - Continuous optimization The specific topic can be refined based on the candidates' skills