Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
-
images of CH₂ and CH₃ bonds required for constructing histological images [2]. This Postdoctoral research project aims to develop a new technology based on photo-thermal stimulated Raman scattering
-
on hyperspectral imaging data acquired from cultural heritage objects. The postdoctoral researcher will conduct research aimed at developing and implementing hybrid models that combine physical radiative transfer
-
Paris to develop an optimised data processing pipeline for detecting and measuring very faint surface brightness in Euclid mission images. The following four areas will be explored: the properties
-
stained to resemble H&E images (https://doi.org/10.1364/BOE.10.005378 ). This postdoctoral position aims at developing tools for classical H&E and virtual SRH staining and classification. This work is
-
uptake, stress tolerance, and species interactions. A case in point is optimal partitioning theory (OPT), a dominant paradigm of plant resource allocation that describes the ability of plants to adjust
-
(Raman, fluorescence), electron-based microscopy, X-ray-based imaging, diffraction and spectroscopy, micro-/millifluidic device design and operation, image/video analysis, bacteria cultivation and
-
. The laboratory also develops cross-disciplinary research areas between these teams. It hosts a large number of PhD and postdoctoral researchers. It is a multidisciplinary research unit in the field of cognitive
-
commensurate with experience and follows national academic standards for postdoctoral researchers. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9019-NATPET-006/Default.aspx Requirements Research
-
several universities and industrial partners, the research will focus on developing new catalytic materials and processes for the synthesis of sustainable fuels from CO and CO2 via the Fischer-Tropsch