Sort by
Refine Your Search
-
of building material markets. This project will explore how the material cycles (e.g., production, manufacturing, use, and end-of-life management) and market dynamics (e.g., demand and supply of scrap in
-
programmes Complete and pass the MSc education in accordance with the curriculum of the MSc programme (ONLY when you are attending the integrated MSc and PhD programme) Carry through an independent research
-
environment The candidate will be part of SDU Center for Large Structure Production (LSP). LSP’s central ambition is to provide a physical “go-to” lab for companies in the sectors construction, maritime, and
-
position is covered by the Protocol on Job Structure. Responsibilities and tasks in both PhD programmes Complete and pass the MSc education in accordance with the curriculum of the MSc programme (ONLY when
-
. The system will include: A very compact, ultra-low-power analog front-end (AFE) to sense neural signals. An on-chip neuromorphic processor to convert the neural data into spike-based encoded data and
-
Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
-
computer engineering, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics
-
intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and
-
intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and