Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and rendering technologies.
-
the one hand, we have a coworking space and offer coaching. On the other hand, we have a greatly equipped Makerspace that gives students access to the tools and equipment they need to prototype. As our
-
Digital Image Correlation and stress wave analysis, and the development of custom material subroutines within finite element software to accurately reflect experimental observations. This is a hands-on
-
/smart, confocal, super-resolution, light sheet microscopy). Knowledge of state-of-the-art image processing and analysis tools and a track record in developing innovative image analysis and data science
-
will work on the extension of our global atmospheric Se cycling model, integrated into the global modeling system ICON-ART (ICOsahedral Nonhydrostatic – Aerosols and Reactive Trace gases), from total Se
-
methods Modeling of large-scale data, in particular omics (genomics, transcriptomics, metabolomics, etc.) and/or imaging data, across biological scales to study molecular and other biological processes
-
. The project aims to develop quantum communication units on the LNOI platform, including qubit generation, transmission, measurement and drivers as a first prototype of entanglement-based high-speed photonic
-
. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
-
. Dagmar Iber, which uses advanced imaging and computational tools to develop data-driven, mechanistic models of biological systems. Located in Basel, the Department of Biosystems Science and Engineering (D
-
focuses specifically on using and refining the ICON model in Large-Eddy Mode (ICON-LEM) to simulate the cloud seeding experiments conducted during the project and improve process-level parameterizations