Sort by
Refine Your Search
-
Employer
- CNRS
- Nature Careers
- Institut Pasteur
- Inria, the French national research institute for the digital sciences
- Aix-Marseille Université
- CEA
- Ecole Centrale de Nantes
- Grenoble INP - Institute of Engineering
- INSERM
- INSERM Rhône Alpes
- INSERM U1135
- INSTITUT MAX VON LAUE - PAUL LANGEVIN
- Inserm / CNRS / Nantes University
- Inserm 1037 - Cancer Research Center of Toulouse - University of Toulouse III
- Nantes Université
- UNIVERSITE ANGERS
- Université Grenoble Alpes
- Université Toulouse III Paul Sabatier
- Université de Lille - CRIStAL
- 9 more »
- « less
-
Field
-
biological systems. The research will involve: Development and optimization of AFM techniques for high-resolution imaging and mechanical characterization of biological samples. Integration of AFM with
-
-edge imaging technologies, including a customized spinning disc to assess cell dynamics, polarized fluorescence microscopy of actin networks, super-resolution and smart microscopy. The project is being
-
microstructural and mechanical properties of steel and aluminum laser powder bed fusion (PBF-LB) in real time. Your tasks Neutron Strain Imaging at SALSA: Conduct high-resolution strain measurements using the SALSA
-
mechanoelectrical feedback, it requires specific tools to uncouple them and to decode the transformation of complex acoustic stimuli by the brain. In the lab, we are developing electrophysiological and imaging
-
imaging methods (e.g. multi-site photometry) in combination with polysomnography (EEG, EMG) and video monitoring. We will take advantage of newly developed genetically-encoded neurotransmitter indicators
-
» Modelling toolsEducation LevelPhD or equivalent Skills/Qualifications PhD in physics, applied mathematics, signal and image processing, digital imaging. Specific Requirements The candidate will work in a
-
Brain Barrier (BBB), CNS Drug Delivery, Brain Shuttles, Brain Imaging, Medicinal Chemistry, Computational Science, Artificial Intelligence (AI), Machine Learning. MAIN SUB RESEARCH FIELD OR DISCIPLINES1
-
computer vision. The dominant approach is based on deep neural networks applied to RGB images. These models have disadvantages such as: a) the need of large quantities of annotated data, which requires
-
instability upon telomere erosion. We use state-of-the-art genomic methods and employ and develop original single cell live imaging and molecular biology methods. The research model is the eukaryotic budding
-
integrative neurophysiology, animal experimentation, in vivo optical imaging and imaging data analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8197-VALHER-164/Default.aspx Work