Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Universite de Montpellier
- IMT Mines Albi
- Inria, the French national research institute for the digital sciences
- Nantes Université
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- Université de Bordeaux / University of Bordeaux
- Aix-Marseille Université
- Center for Immunology of Marseille-Luminy (CIML)
- Centrale Lille Institut
- IMT - Atlantique
- INRAE
- INSA Strasbourg
- Université Marie et Louis Pasteur
- Université Savoie Mont Blanc
- 5 more »
- « less
-
Field
-
of neuronal and vascular responses; Contributing to the instrumental development of the system (optimization of detection, illumination control, multi-camera synchronization); Analyzing and interpreting
-
defended their PhD and have not yet undertaken a postdoctoral position are eligible. The candidate will carry out scanning tunneling microscopy (STM) experiments in a cryogenic and ultra-high-vacuum
-
Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
. To that aim, both Stein-based bilevel optimization, empirical Bayesian and unsupervised deep learning approaches will be considered. The recruited postdoc researcher will tackle both implementation challenges
-
PhD position under LUMEN project funded by BPI-France, France 2030 and Normandy Region within I-Démo 2024 program. The project gathers experts in fiber laser design, realization and qualification aiming
-
Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 12 days ago
of produced antibodies using high-throughput approaches Optimizing and standardizing library preparation protocols to ensure high-quality genomic data Collaborating with bioinformaticians to validate sequencing
-
» Chemical engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in computer sciences or chemical engineering Cover letter, research summary and CV Strong skills in optimization and programming
-
the most informative polarimetric parameters and optimal wavelengths for detecting abiotic stress. This approach will contribute to more accurate digital phenotyping, supporting sustainable crop monitoring
-
activity - Conducting catalytic tests (liquid-phase hydrogenation) - Interpreting results to understand reaction pathways and observed phenomena, and proposing practical and effective solutions to optimize
-
computational approaches to biological systems. Its core activity is the development of deep learning methods for protein design and optimization, with applications in biology and medicine. - activities: We
-
permanent staff members, plus some 15 PhD candidates and 4 post-doc researchers. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5801-GERVIG1-053/Candidater.aspx Requirements Research