Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Universite de Montpellier
- UNIVERSITE ANGERS
- Avignon Université
- CEA Grenoble
- Clermont Auvergne University
- Ecole Normale Supérieure de Lyon
- European Synchrotron Radiation Facility
- Fondation Hôpital Rothschild
- IMT Atlantique
- IMT Mines Ales
- Institut Pasteur
- Télécom Paris
- Université Marie et Louis Pasteur
- Université de Bordeaux / University of Bordeaux
- Université de Pau et des Pays de l'Adour
- Université du Littoral Côte d'Opale
- 9 more »
- « less
-
Field
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 2 months ago
of publications in quantum information theory. Familiarity with Bell nonlocality, operator algebras, SDP relaxations of polynomial optimization problems, quantum correlation protocols, experimental physics and / or
-
in a strongly heterogeneous setting (e.g., CPUs+GPUs). Additionally, this work can benefit from the developments of WP1 and WP2 of Exa-SofT around the development of optimization techniques
-
benchmarking and comparative evaluation of gene perturbation models across diverse single-cell datasetsCollaborate closely with Helical-AI on scaling, optimization, and integration of the developed models within
-
validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and
-
to several aspects of the project, including: -design, development and validation of experimental optical microscopy setups -modelling and optimization of experimental parameters -adaptation and further
-
specialized in instrumentation / electronics. NMR/MRI acquisition sequences: implementation, optimization of standard sequences and innovation at very low field, with a focus on acceleration procedures and
-
spontaneous orbital ferromagnetism. The research will combine advanced sample fabrication, optimization of magnetic sensors, and low-temperature, low-noise measurements of the transport and magnetic properties
-
Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
work will consist of optimizing the codes that generate input data and process output data. • The postdoctoral researcher will carry out comparative work using data from geodesy and seismology
-
the range of optimal physical parameters associated with flow/viscosity pairs of the algal solution in order to achieve good uniformity of residence times. The BioACE project aims to develop a new type of
-
testing of concrete structures Good Knowledge of data science, e.g. optimization, machine learning, and structural sensing technologies Openness to interdisciplinary research and commitment to teamwork