11 Master-"University-of-Virginia" PhD scholarships at Inria

PhD Position F/M Developing a deep learning framework to design cyclic

within a Research Infrastructure? No Offer Description Contexte et atouts du poste The main goal of this PhD project is to develope a deep learning framework for the design of cyclic peptides. This project

PhD Position F/M [Campagne doctorants] on distributed automated machine

. Principales activités The PhD student will conduct original research on the topic described above. The expected activities include, but are not limited to: Bibliographical study on autoML, distributed computing

PhD Position F/M Campagne/Welcome Package - Learning robotic manipulation

Write a doctoral thesis Compétences The candidate must have an excellent track of records and a Master Degree (or equivalent). The candidate must have the following qualifications: Strong background in

PhD Position F/M Embedded AI: Graph Neural Networks in Lossy Embedded

. Supervised learning is one of the main branches in Artificial Intelligence (AI). Training a model requires an ensemble of data to train on. Each data item is associated with a label, which is the best

PhD Position F/M Scalable Translation Validation for High-Performance

validated on HPC benchmarks. Principales activités The PhD student will conduct original researches on the topic described above. The expected outcome includes: Verification algorithms and correctness proofs

PhD Position F/M -- Campagne Doctorant -- Explainable Deep Learning

/Management : The person recruited will be in charge of the deployment of the proposed technology on the Cytomine @ ICM platform. Principales activités Main activities : Identify and verify omics and visual

PhD Position F/M Campagne doctorant 2024 - Emergence of mesoscale

sciences seem to remain completely out of reach for now. The main one being the generalizability beyond past experience, namely the adaptability to unknown contexts. Furthermore, deep learning algorithms

PhD Position F/M Machine learning for efficient bimodal EEG-fMRI

physical model of the EEG headset on the one hand, and on a term learned on residuals by an AI model on the other. Prediction of fMRI activity using EEG signal : The main idea is to model EEG and fMRI

PhD Position F/M Multimodal Speech Analysis for Early Detection of Crohn's

on patients' quality of life and healthcare resources. Within the framework of the I-DEAL project, the main goal is to address the unmet needs of CD patients by enabling early intervention and promoting a

PhD Position F/M [campagne doc mi-nf-lys-2024] Low-rank Tensor

… Mission confiée We view CNN models as large tensors and plan to represent them with their low-rank tensor representations. The main goal of this PhD thesis is to take advantage of parallel work on tensor