Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Institut Pasteur
- Télécom Paris
- Aix-Marseille Université
- Inria, the French national research institute for the digital sciences
- Universite de Montpellier
- Ecole Normale Supérieure de Lyon
- Nantes Université
- Nature Careers
- Region Bretagne
- Télécom SudParis
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Limoges
- Université de Strasbourg
- 6 more »
- « less
-
Field
-
collaboration with the University of Zurich. Mission The researcher will integrate, optimize, and stabilize the RNb-NeuS neural 3D reconstruction method within the AliceVision software architecture, enabling
-
focus on dissecting the intricate relationships between RNP condensate architecture and functions. Using genetics, chemical approaches and an advanced system to generate artificial condensates
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 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
-
robots operating in indoor and/or outdoor 3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development
-
18 Nov 2025 Job Information Organisation/Company Nantes Université Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions
-
21 Nov 2025 Job Information Organisation/Company Aix-Marseille Université Research Field Architecture » Other History » Archaeology History » Art history History » History of religions History
-
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
-
learning. However, conventional neural networks are not well-suited to the computational constraints of FHE. The project aims to develop more efficient neural network architectures tailored for encrypted
-
of embedded electronics and microcontroller architecture (Arduino, ESP32) Expertise in neuroscience data analysis Proficiency in Python and/or Matlab Excellent level of English required (minimum C1 level of
-
learning and an interest in interpretability. Excellent programming skills in Python, familiarity with modern neural architectures, and the ability to conduct independent research are expected. Experience in