Sort by
Refine Your Search
-
Category
-
Employer
-
Field
-
to the causal abstraction research direction, which aims to build rigorous benchmark for evaluating AI interpretability using the framework of causal abstraction and develop new interpretability methods
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic
-
project proposes a new approach to develop solid-state laser architectures based on transparent polycristalline ceramics that can provide better thermal managing, higher compacity or even higher laser
-
Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
of Magnetic Resonance Imaging (MRI). Building on the various contrasts mechanisms available in multi-parametric MRI, we aim to establish deep learning models that predict biomarkers of diseases progression and
-
Hierarchical Re-inforcement Learning (HRL), to effectively navigate the complex state spaces inherent in SoC vulnerability assessment. The objective of this position is to build upon and extend an existing RL
-
, digital painters, video creators, and others). The central idea of the project is therefore to leverage these unique collaborations to design and study the elementary building blocks of neural architectures
-
Université de Bordeaux / University of Bordeaux | Villenave d Ornon, Aquitaine | France | about 1 month ago
, taking into account single nucleotide polymorphisms (SNPs) and structural variants (SVs). You will build a searchable variant database for the implementation of genomically-assisted selection of alleles
-
values, such as physical laws, safety rules, or logical invariants. This lack of verifiable correctness is a major barrier to building trustworthy and well-calibrated autonomous systems. Research focus
-
into district heating networks (DHN), and to study the architecture, sizing, and control strategies for its optimal integration into such networks. Currently, sensible heat storage remains the most widely used
-
networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them