Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Medical Sciences
- Arts and Literature
- Economics
- Engineering
- Materials Science
- Science
- Biology
- Business
- Design
- Education
- Humanities
- Mathematics
- Chemistry
- Linguistics
- Earth Sciences
- Electrical Engineering
- Social Sciences
- Philosophy
- Sports and Recreation
- Psychology
- Environment
- Law
- 13 more »
- « less
-
the FHNW. The goal is to develop a highly automated, reproducible pipeline for the capture, processing, and dissemination of 3D digital twins of cultural artifacts using cutting-edge imaging and
-
Shifting the paradigm: machine-assisted scholarly digital editing Digital Humanities Institute PhD Research Project Self Funded Dr Isabella Magni Application Deadline: Applications accepted all year
-
National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 12 hours ago
to misapprehensions about the outer planets and moons. In addition, many images were never processed in to full color and remain monochromatic. Digital image processing has now advanced significantly, permitting new
-
Department: SOM KC Cancer Center Administration ----- Communications Position Title: Digital Communications Coordinator Job Family Group: Professional Staff Job Description Summary: The Digital
-
production of problematic waste, and carbon emissions. At the heart of achieving such a replacement are digital tools creating a systems approach linking base material processing through to part integration
-
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
-
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
-
to develop workflows for processing, preserving, and managing born-digital and hybrid collections. Responsibilities include digitizing textual and image materials using flatbed and large-format imaging
-
to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
-
of identification for employment verification via the Federal I-9 employment verification process. A list of acceptable documents can be seen here: https://www.uscis.gov/i-9-central/form-i-9-acceptable-documents