15 biomedical-signal-processing positions at Inria in France

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

interpreting the correlations and causalities identified. Data-driven AI approaches guided by models will initiate a well-known virtuous cycle process ranging from explanation (as a capability of AI tools

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

at the interface of signal and image processing, behavioural neuroscience and neurofeedback. Neurofeedback approaches (NF) (see [1] for a complete and actual introduction), also known as restorative brain-computer

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

a physician to indicate the patient's condition at the time of recording. The goal is to extract features from these recordings that capture the nuances of pain flares, enabling the development

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

the intersection between biomedical engineering, complex systems and clinical neuroscience. NERV proposes new computational frameworks to analyze and model the spatiotemporal complexity of brain networks from

PhD Position F/M Efficient Deep Learning (IDP 2024)

better throughput. Recent papers consider a combination of pipeline parallelism with activation checkpointing techniques [5, 6]. An important point is that algorithms with theoretically better time/memory

Post-Doctoral Research Visit F/M Efficient Deep Learning (IDP 2024)

checkpointing techniques [5, 6]. An important point is that algorithms with theoretically better time/memory complexity in practice might provide fewer benefits as it could be expected from analytical derivations

PhD Position F/M Trustworthy AI hardware architectures

: variability in fabrication process parameters, latent defects or even environmental stress. One of the overlooked aspects is the role that HW faults can have in AI decisions. Indeed, there is a common belief

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

interaction (PPI) network. Finely orchestrated PPIs are at the heart of virtually all fundamental cellular processes [1]. A large number of PPIs contribute to life-threatening diseases [2], and more than half a

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

that optimizes the machine learning process, making it more accessible and efficient for users with varying levels of expertise [1]. AutoML leverages algorithms and computational capabilities to automate key

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

computer vision and robotics, the WILLOW team has consistently produced high-quality research, resulting in publications in major journals and conferences. As part of the team, you will have access to a well