Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- CNRS - Institut Lumière Matière
- Institut Pasteur
- Arts et Métiers Institute of Technology (ENSAM)
- Ecole Normale Supérieure
- Ecole polytechnique
- FEMTO-ST
- Grenoble INP - Institute of Engineering
- Gustave Roussy Cancer Campus
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- University of Basel
- University of Paris-Saclay
- University of Reims Champagne-Ardenne (URCA)
- Université Paris-Saclay (UPS)
- Université Paris-Saclay GS Mathématiques
- Université de Bordeaux - Laboratoire IMS
- Vision Institute
- 10 more »
- « less
-
Field
-
parameters to identify regimes that ensure both flame stability and low pollutant emissions. Machine learning techniques have recently shown promise for Design of Experiments (DoE) and interpretation of large
-
closely with our collaborators to establish a deep learning-based image analysis pipeline. The successful applicant should hold a PhD in cell biology or neuroscience. Previous experience in live cell
-
agents and as photosensitizers. The PhD student will acquire expertise in techniques for studying ROS generation in solution (indirect methods using internal dyes) and in vitro (using ROS-active dyes
-
with both the CNRS and UGA, organized into five research teams conducting work in cognitive science (Body and Space, Development and Learning, Language, Consciousness, Memory & Metacognition, Vision
-
opportunities to exchange ideas with other doctoral students, receive feedback on the work in progress, and acquire the skills necessary for an academic career. The Doctoral Program also supports its members with
-
(with openness to learning others): Computational protein design or molecular modeling Protein biochemistry / structural biology Cell biology and receptor signaling Good communication skills in English
-
algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical optimization of QML algorithms Noise mitigation in relation
-
experimental data (from ex-situ and in-situ measurement). Therefore, she/he will develop a way to optimize/guide the experiments trough artificial intelligence approach (machine/deep learning) that he will
-
sometimes struggle to effectively sustain patients' learning throughout their rehabilitation journey and may not adapt to the evolution of their abilities. Rehabilitation is a complex process that requires
-
, a protein expressed in many cancers, which is an indispensable element of the meiotic DSB formation machinery, but which exact function is not known. In order to learn more about MEI4 and its partners