Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Southern Denmark
- Cornell University
- Forschungszentrum Jülich
- University of Twente
- Austrian Academy of Sciences, The Human Resource Department
- CNRS
- California Institute of Technology
- Fraunhofer-Gesellschaft
- IRTA
- Inria, the French national research institute for the digital sciences
- KU LEUVEN
- Technical University of Munich
- Technische Universität Berlin •
- University of Kassel •
- University of Twente (UT)
- 5 more »
- « less
-
Field
-
for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
-
at the intersection of wireless systems, organic electronics, and neurotechnology. Project Goal Develop a wireless, battery-free, implantable analog interface using organic electrochemical transistors (OECTs) to sense
-
: Master in Electrical/Electronic Engineering with proven knowledge of analog/mixed-signal integrated circuits. Additional research/development experience in any of the following topics is a plus: hands-on
-
) radiation sensors Assembly and characterization of SiC sensor modules for laboratory and beam tests measurements Development and characterization of analog and digital electronics for high dynamic range
-
high-impact inventions in analog filters, thermal noise cancelling amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling
-
the structure and texture of High Moisture Extrudates (HME), Plant-based Dry Cured Meat Analogs (Pb-DCMA), and Dry Cured Ham (DCH) by investigating their characteristics at molecular, microscopic, and macroscopic
-
neuromorphic hardware, this project will push into next-generation analog circuits and memristive devices, in collaboration with PGI-14. The goal is to train a system that leverages the intrinsic non-linear
-
Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 6 days ago
workflow based on this kind of platform: Analog Audio Inputs/Microphones → DNN Inference on Embedded NPU → Analog Audio Outputs/Speakers. In a second phase, various classes of algorithms will be run
-
for the best algorithm-hardware pair for a given problem. While we have a history of success in optimizing digital neuromorphic hardware, this project will push into next-generation analog circuits and
-
. 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