4 bayesian-network Postdoctoral positions at CNRS in France

M/F Post-doctorat in material science

CNRS | Thiais, le de France | France | 8 days ago

experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP

Post-doctoral researcher in deep learning to predict the distribution of marine biological communities using their spatial and temporal context (M/F)

CNRS | Villefranche sur Mer, Provence Alpes Cote d Azur | France | about 12 hours ago

over the course of the project. References: - Deneu B et al (2021) Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment. PLoS Comput

M/F Researcher on oxide-based inks for the eco-design of optical devices

CNRS | Pessac, Aquitaine | France | 4 days ago

systems. In particular, highly functional flexible electrochromic (EC) systems involving the integration of several active materials (metal oxides, electrolytes, network of metal nanowires used as

Young postdoctoral Researcher in Computational Chemistry - M/F

CNRS | Pau, Aquitaine | France | 8 days ago

that couples high‑performance computing with instrumental platforms integrated in the UPPA‑Tech network. Five platforms are directly supported by IPREM: POLYCaTS (polymer analysis and characterisation