12 deep-learning-phd positions in France

Deep Learning with Generative Models for Anomaly Detection

]. For these reasons, we aim to go beyond the weaknesses of these methods, by investigating novel classes of generative models with deep learning to address anomaly detection. The goal of this PhD thesis is to explore

Learning host-pathogen surface interactome to design novel therapeutics

expertise in macromolecular interactions and docking, structural biology, and deep learning, together with several PhD and master students. Assignment Background: Streptococcus Pyogenes (Group A Streptococcus

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

learning for nano-optics predictions and inverse design. The PhD will take place in the framework of the running ANR project ``AIM'', a collaborative project between physicists and chemists in Bordeaux (Labs

Graph-Based Machine Learning for Enhancing Neuroimaging Data Representation and Analysis [FAMOUS]

the potential of Graph Neural Networks (GCN, GAT) to learn a representation space in which basic individual characteristics such as the sex can be predicted, with promising results [4]. The aim of this PhD

PhD Student (M/F) : Study of Neuronal Populations in Cerebellar Nuclei

and motor learning. How the deep cerebellar nuclei (CN, the sole output of the cerebellum) integrate sensorimotor information and contribute to the learning and execution of fine movements is not well

Fully funded NLP/ML PhD position (M/F): Language modeling under distribution shifts

computer science background with an interest in applied mathematics or a strong mathematical background with some knowledge in deep learning and Python+Pytorch. As the goal of the project is to propose novel

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

implement cognitive attention models for computer vision adapted to event data. A first step will be to study the state-of-the-art attentional mechanisms in deep networks and their link with cognitive

Postdoctoral Researcher in Cognitive Neuroscience and Technology (M/F)

Description The person recruited will be responsible for the development of a computer system that combines deep learning, natural language processing, and psychology of language. - Develop, manage and

(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

Democratic biases in Large Language Models: Detection, Quantification, Mitigation (M/F)

laboratory of Sorbonne Université and CNRS. The PhD applicants will be hosted by the “Machine Learning and Deep Learning for Information Access” team (MLIA - https://www.isir.upmc.fr/equipes/mlia/ ), which