Sort by
Refine Your Search
-
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
-
-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
-
Job Description Are you passionate about designing ultra-low-power electronics for neural and wearable systems? Do you want to develop custom CMOS circuits that serve as the foundation
-
-computer interfaces, cognitive rehabilitation, and neural prosthetics. Your contributions will support the development of a custom CMOS-based SNN processor that can operate in ultra-low-power environments
-
needed to achieve these temperatures, the control cables connecting to the qubits are often more than 2 meters long. At the same time, a quantum computer powerful enough to solve problems beyond the reach
-
Polymer Electrolytic Capacitors. The position is located at the Centre for Industrial Electronics (CIE) in Sønderborg. The preferred starting date is September 1, 2025. Sønderborg is an international campus
-
collaboration? If you possess strong competencies in health economics research methods, you might be the ideal candidate for our PhD position. Research environment The position is anchored at the Danish Center