Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Ecole Normale Supérieure de Lyon
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Institut Pasteur
- Télécom Paris
- Universite de Montpellier
- Aix-Marseille Université
- CEA-Saclay
- Fondation nationale des Sciences Politiques
- IFP Energies nouvelles (IFPEN)
- IMT - Institut Mines-Télécom
- IMT Atlantique
- IMT MINES ALES
- IMT Mines Ales
- Inserm PACA Corsica
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- University of Strasbourg
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- École nationale des ponts et chaussées
- 13 more »
- « less
-
Field
-
Description CNRS offers a 18-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus interactions
-
combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
-
self-adaptation capabilities. Three major challenges have been identified: (P1) modelling uncertain environments where robust, weakly supervised machine learning algorithms can be deployed to irrigate
-
technologies (fiber-optic sensors, DIC), and computer science (machine learning tools) in collaboration with de department of Physics. The aim of the BriCE project is to develop a novel bridge monitoring
-
notebook - Present the results of syntheses and characterisations, ensuring their follow-up and quality - Master basic IT tools, ability to learn new ones - Work with rigour, reliability and initiative
-
and educational issues with the common goal of contributing to an inclusive, open and resourceful society. Your role The Postdoctoral researcher will be working in the Institute of Teaching and Learning
-
-learning models for patient stratification and outcome prediction. Moreover, complex multi-layered datasets shall be integrated into clinically actionable biomarkers and decision-support tools that underpin
-
. Skills in computational modelling or machine learning applied to brain signals are an asset. We are looking for a highly motivated, rigorous and curious researcher who is ready to invest themselves in a
-
The postdoctoral researcher will have the opportunity to learn and apply state-of-the-art methods to characterize protein–protein interactions at both low- and high-throughput scales. Position details -Location
-
molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM