Sort by
Refine Your Search
-
to experimental design, modelling of temporal encoding schemes, and data analysis, within a highly interdisciplinary environment combining optics, photophysics, signal processing and biology. The person will
-
conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
-
, electronics, image and data analysis, chemistry, and biology. In this position, the successful candidate will work on the development of a novel three-dimensional single-molecule localization microscopy
-
lie at the crossroads of multiple disciplines and involve expertise in optics, electronics, image and data processing (including machine learning), photophysics, chemistry and biology. The position is
-
of extracellular vesicles - Modeling and AI for image analysis The new multidisciplinary unit NABI (Nanomedicine, Extracellular Biology, Integratome and Health Innovations), located on the Saint Germain Campus
-
. Postdoctoral researchers will have access to state-of-the-art imaging and cellular biology platforms, as well as a dynamic international research environment. Where to apply Website https://emploi.cnrs.fr
-
; medicine and biology ; signal and data processing. The recruited person will join the scientific computing team of the laboratory and will also be associated to the INRIA Alpines team, a joint research group
-
30 Jan 2026 Job Information Organisation/Company CNRS Department Joint Robotics Laboratory Research Field Engineering Computer science Mathematics Researcher Profile Recognised Researcher (R2
-
, library preparation, cell culture, and imaging - Proficiency in computer languages (bash, python, awk, R) - NGS/omics data analysis - Proficiency in statistics for high-throughput data analysis - Generation
-
to carry out the following tasks: Development of analysis scripts for the preprocessing and automated processing of functional neuroimaging data; Statistical modeling of imaging data and evaluation