Sort by
Refine Your Search
-
Listed
-
Program
-
Field
-
approaches for the early diagnosis of Alzheimer's disease. A part of this project involves developing image processing tools to analyze, integrate, and contextualize multimodal imaging data for Alzheimer's
-
, 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
-
Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Perform behavioral experiments Perform in vivo imaging
-
and chemistry, particularly X-ray spectroscopy applied to materials science. - Solid knowledge of image processing and materials characterization. - Experimental experience in imaging and programming
-
position, the drying process of masonry structures will be analysed at the scale of the block/mortar interface taking into account the type of block and the vertical stress applied to the assembly during
-
of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the Underwater Vision Profiler
-
interneurons on the processing of sensory-motor information by the granular layer of the cerebellum and the impact of afferent reentries using ultrafast imaging and optical acquisitions in behaving animals
-
of Research ExperienceNone Additional Information Eligibility criteria - optics - microscopy - knowledge of single-molecule imaging (acquisition and processing) - knowledge of photophysics - knowledge of cell
-
with drugs and phytohormones, osmotic treatments. In sterile conditions. 2. Optical imaging (confocal, light sheet, two-photon) on live and fixed embryos 3. Microfluidics 4. Laser ablation 5
-
/ ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Nanobio team is developing new concepts to push back the limits of super-resolved fluorescence imaging