Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Job id: 141665. Salary: £39,523.16 per annum, plus Mobility allowance of £4,869.59 per annum. Posted: 25 March 2026. Closing date: 04 May 2026. Business unit: IoPPN. Department: Forensic
-
. Comprising academics and PhD researchers, it pioneers innovative craniofacial projects in forensic identification and digital heritage, advancing interdisciplinary research and knowledge exchange in heritage
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This program focuses on physical
-
Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
-
(iii) multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as
-
collaborative unit that combines art and science to explore facial identity and representation. Comprising academics and PhD researchers, it pioneers innovative craniofacial projects in forensic identification
-
Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
-
Location Lexington, KY Grade Level 12 Salary Range $62,400-111,634/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https
-
Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct
-
Machine Intelligence (CVI²) research group (CVI² Group ), led by Prof. Djamila Aouada, to pursue a PhD in Computer Vision with a focus on Media Forensics and Deepfake Detection. The candidate will conduct