Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 958 - 2026/MB 1 Work
-
. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------------------...
-
the MediTwin project, which aims at advancing patient-specific digital twins for medical applications by combining physics-based modeling, data assimilation,and efficient computational pipelines (https://www
-
Nantes Université, École Centrale Nantes, CNRS, GeM, UMR 6183, Nantes F-44000, France | Nantes, Pays de la Loire | France | 10 days ago
damage mechanisms under stresses: - micro- and nano-indentation tests and Single-Edge Precracked Beam (SEPB) - digital image correlation techniques necessary for evaluating toughness and propagation speeds
-
being based in the Faculty of IT. URLs/references Chen, Z. & Daly, S. H. Active Slip System Identification in Polycrystalline Metals by Digital Image Correlation (DIC). Exp Mech 57, 115–127 (2017). Comley
-
several types of spatial growth patterns which correlate with therapy efficiencies and overall survival (Vermeulen et al. J Pathol. 2001 , Nielsen et al. Mod Pathol. 2014 , Baldin et al. J Pathol Clinical
-
, Mohamad Daher (2021-2024). This study focused on using digital image correlation to observe deformation fields induced by water transfer within the porous network of stone. Digital image correlation aims
-
, public authorities in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will pioneer
-
cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms
-
data from multisite ovarian tumor samples. The information extracted from the images will be correlated with molecular (genomic and transcriptomic) and clinical variables to assess their predictive