Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource
-
, analytical and computer programming skills. Advantage will be given to applicants with experience in one or more of the following: signal processing, deep learning, acoustics, psychoacoustics, acoustic
-
biology: “How can cells control processes in space and time to achieve a fine-tuned regulation? To uncover this fundamental question, we aim to understand the formation of liquid, biomolecular condensates
-
systems”, coordinated by Prof. Dr. Marco Salvalaglio and Prof. Dr. Axel Voigt and funded by the German Research Foundation (DFG). The core activities will focus on the investigation of disordered correlated
-
intuitive, explainable tools for clinicians. Your Role You will work at the interface of signal processing, AI, and clinical neurophysiology. The project involves close collaboration with MST, the University
-
employment. Please indicate your request in your application. Position#6: TRR404-TUD-B07 Project: B07 Reconfigurable Architecture Project Leader: Prof. Diana Göhringer (Chair of Adaptive Dynamic Systems) Terms
-
Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Tamalika
-
Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Beatriz
-
Dr Farhad Merchant’s Research Group working on Innovative Computer Architectures and Hardware Security, and will be supervised by Dr Farhad Merchant. The project is a collaboration with Prof. Tamalika
-
; EPSRC Centre for Doctoral Training in Green Industrial Futures | Edinburgh, Scotland | United Kingdom | about 1 month ago
for industry placements, site visits, international facility visits and biannual residentials. The Project The project is led by Prof. Mercedes Maroto-Valer in collaboration with industry partner, TÜV-SÜD, and