12 deep-learning Postdoctoral research jobs at CNRS

Postdoctoral position in molecular modeling for the search for a treatment against a rare neurological disease (M/F)

and apply Deep Learning tools for protein modeling, small molecule docking, and structure prediction. • Collaborate with interdisciplinary teams to advance research goals and contribute to scientific

Postdoctoral fellow in Biophysical guided AI for (medical) imaging (M/F)

, deep learning-based image methods have emerged as a prominent tool in medical image processing. While they have shown impressive success in various computer vision tasks, their application in the medical

Post-doctoral fellow (M/F) for the development of single molecule fluorescence microscopy combined to deep learninng

(ModLoc technique patented by the team), in an original configuration. These optical developments will be settled in parallel of the implementation of new analysis tools bsed on deep learning, developed in

Researcher specialized in electrode materials and battery cells M/F

electrodes and cells by using the pilot line of the French Network on Electrochemical Energy Storage (RS2E). The postdoctoral researcher will carry out innovative research allowing to gain deep insights in

Postdoctoral Researcher (M/F)

tissue density (induced by compression, drugs or inflammation) to modify droplet dynamics. Development of new segmentation tools (re-training of Stardist code) and tracking tools (Trackmate) using deep

Post-doctoral researcher or researcher in sea ice/ocean/atmosphere modeling and prediction (M/F)

(i) using an innovative “scale-aware” modelling approach of sea ice dynamics from the floe scale to the basin scale, and (ii) exploring the potential of AI/deep learning methods in this context. More

Post-Doctoral Researcher (M/F) in Medical Image Processing and Artificial Intelligence

Intelligence with experience in deep learning Mastery of Python and deep learning platforms such as TensorFlow/PyTorch Knowledge in biology and medical imaging methods: MRI, SRM, PET would be advantageous

Post-doctoral fellow (M/F) on smartmicroscopy for single molecules imging in depth

analysing the data, using deep learning approaches to optimise the experimental parameters in real time. This post will involve developing a new implementation of this technique, called ModLoc for Modulated

Post-doctoral fellow (M/F) for for signal analysis in super-resolved imaging for biology

. These analysis tools could mobilize deep learning approaches. After a test phase on calibration samples, these tools will be applied to the observation of biological samples in collaboration with various team

Postdoctoral Researcher (M/F) in Synthesis, Texturization, and Characterization of Magnetocaloric Materials

of powder texturing through slip-casting under magnetic fields to achieve highly textured magnetocaloric materials. An essential part of this project is the integration of machine learning techniques