Sort by
Refine Your Search
-
. Responsibilities: Conduct research in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function
-
? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
-
wearable and ambient IoT sensing systems for activity and health monitoring. Implementing embedded AI models for anomaly detection and behaviour analysis. Working on digital twin and serverless IoT
-
professional network through international research stays and develop innovative solutions that support the global transition to sustainable energy systems. Apply now to make a difference in the field
-
. Fluency in English (oral and written). Excellent communication abilities, social skills, and independent attitude paired with the ability to network and interact with relevant stakeholders. We envision
-
a newly formed collaborative cancer research environment with a strong scientific and social network for students and postdocs and good mentoring opportunities to support individual career development
-
. The selected candidate will embark on a research journey within a supportive and resource-rich environment, characterized by state-of-the-art facilities and a network of leading academics and industry
-
loads — EV fleets, residential batteries, smart heat pumps, and data-center clusters — across distribution and transmission networks is critical to unlocking deep decarbonization and maintaining grid
-
and ambitious young research group, supported by the POLIMA Center and its extensive network of international collaborators. POLIMA is a Center of Excellence funded by the Danish National Research
-
the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration. Key