3 sensor-networks Postdoctoral positions at CNRS

Post-doctoral research in functional ecology of marine plankton: use of in situ observation data and high-frequency sensors in relation to environmental and biological variables (M/F)

CNRS | Montpellier, Languedoc Roussillon | France | 9 days ago

trophic (phytoplankton growth and loss) variables of the Thau lagoon and the Mediterranean Sea (Station 00SETE) in an innovative way using in situ data from high-frequency automated sensors; 2) linking

Contract Researcher (M/F) on detecting generated images and hidden information in images

CNRS | Villeneuve la Garenne, le de France | France | 10 days ago

, including variational auto-encoders, generative adversarial networks (GANs) and more recently probabilistic diffusion denoising models. On the other hand the CRIStAL laboratory has a strong expertise in

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 1 month 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