-
work and placements. Collaboration & Networking (10%): Build and maintain collaborative relationships with internal and external partners, build research networks, and coordinate shared projects
-
the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Conduct research in adversarial machine learning, AI security and the robustness of deep
-
participate in a nationwide cohort for shared learning, professional growth, and network-building. Fellows gain practical experience, advance meaningful work, and help strengthen the state's civic science
-
Investigations, Graph Analytics and Criminal Network Discovery, Suspicious Activity Detection, Digital Content Provenance and Authenticity, etc., which are important components to strengthening trust, security
-
environment, while also providing the security of outstanding scientific mentorship from proven leaders in their respective fields. A cross-discipline project proposal, to be co-supervised by two group leaders
-
and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods. Support the design and implementation of research prototypes and
-
in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and
-
-state Leverandør: .jobbnorge.no Databehandlingsansvarlig: Fingerprint JS Formål: Device fingerprinting for security purposes Personvernregler for databehandling: Fingerprint JS - Personvernregler