Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
Requirements: PhD degree in Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine
-
of Stavanger invites applicants for a PhD Fellowship in Optimization of Multi-Energy Systems, at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering. The position is vacant from
-
applicants for a PhD Fellowship in Optimization of Multi-Energy Systems, at the Faculty of Science and Technology, Department of Energy and Petroleum Engineering. The position is vacant from February 2026
-
: Develop and apply new machine learning and computer vision methods such as large-language models and vision-language models for high-throughput analysis of video data. For NeuroAI focus: Apply data-driven
-
experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
-
technologies into smart infrastructure solutions. About Us The Faculty of Science and Engineering is a young and dynamic faculty driven by the spirit of discovery. Here we nurture the next generation of science
-
Economy group. The positions will be based within the school of Chemistry and Chemical Engineering and will contribute to the digital tool development within two EPSRC funded projects: IDEA: Inverse Design
-
et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få en oversikt over besøkene
-
for software engineering. Criteria for Position in Human Factors/Cognitive Psychology in AI-Based Decision Support: Evidence of peer-reviewed publications in reputed refereed journals/conferences in human
-
to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Apply large language models and multi‑agent AI to accelerate crop breeding Integrate