Sort by
Refine Your Search
-
Country
-
Employer
- Harvard University
- Carnegie Mellon University
- Technical University of Denmark (DTU)
- University of North Carolina at Chapel Hill
- University of Texas at El Paso
- George Mason University
- LIVERPOOL JOHN MOORES UNIVERSITY
- Northeastern University
- Tilburg University
- University of Cambridge;
- Aalborg University
- Escola Superior de Saúde do Politécnico do Porto
- GFZ Helmholtz-Zentrum für Geoforschung
- Georgia Southern University
- Istituto Italiano di Tecnologia
- KU LEUVEN
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Naturalis
- Oak Ridge National Laboratory
- Ovidius University of Constanta
- Pennsylvania State University
- RMIT University
- The Ohio State University
- University of Alabama at Birmingham
- University of Central Florida
- University of Florida
- University of Sheffield
- Wayne State University
- 19 more »
- « less
-
Field
-
at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems. The PhD researcher will be
-
(FAS) is the historic heart of Harvard University. It is the home of Harvard’s undergraduate program (Harvard College, founded in 1636) as well as all of Harvard’s Ph.D. programs (the Harvard Kenneth C
-
will operate at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems
-
references. Additional documents should be uploaded as one PDF to the “other documents” selection in the application. 4. A personal research program vision statement detailing short-and long-term goals. 5. A
-
any element of the recruitment process, please contact [email protected] . Our vision and strategic plan We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision
-
Assist in developing AI-based computational tools for analyzing biological images. Help implement machine learning, deep learning, computer vision, and image processing algorithms. Work closely with
-
, relating to craniofacial identification research and machine learning. You will require a computer science background. You will be applying AI and/or machine learning to Face Lab processes in relation
-
, relating to craniofacial identification research and 3D digital avatars. You will require a 3D animation, CGI, computer science and/or anatomical modelling background. A knowledge of anatomy and 3D
-
of intangible cultural heritage Experience in integrating computer vision and NLP approaches for multimodal cultural heritage applications Strong research and analytical skills, with experience in data collection
-
languages, including Python, C++, or Java, focusing on algorithms and data structures applied explicitly in computer vision projects Knowledge of machine learning and deep learning frameworks, including