Sort by
Refine Your Search
-
Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
-
and numerically predicting the infiltration of the final matrix by CVI. To this end, X-ray tomography acquisitions will be performed; the images will then be analyzed and processed to produce (i
-
8 Nov 2025 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Engineering Computer science
-
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
-
. INCI has various technical platforms, including a molecular biology platform providing accelerated access to molecular tools. The candidate will have access to the INCI imaging platform, including a
-
Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
-
21 Nov 2025 Job Information Organisation/Company CNRS Department Institut Jacques Monod Research Field Biological sciences Biological sciences » Biology Researcher Profile First Stage Researcher (R1
-
disciplines and involve expertise in optics, electronics, image and data processing using machine learning, photophysics, chemistry and biology. The position is therefore particularly well suited for candidates
-
, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning
-
data to study the ocean. The COMPLEx (COMPutational PLAnkton Ecology) team gathers about fifty members studying marine plankton by collecting data with quantitative imaging instruments and high