Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- University of Groningen
- Cranfield University
- Delft University of Technology (TU Delft); yesterday published
- Fraunhofer-Gesellschaft
- Ghent University
- Instituto de Telecomunicações
- The University of Alabama
- The University of Edinburgh
- University of Southern Denmark
- Université de Bordeaux - Laboratoire IMS
- Vrije Universiteit Amsterdam (VU)
- Vrije Universiteit Brussel
- 2 more »
- « less
-
Field
-
The studentship covers: Full time PhD tuition fees for a student with a Home fee status (£5,006* per annum) A tax free stipend of £24,780 per year A generous support package to fund relevant equipment and travel
-
, enabling systematic and efficient exploration using modeling and simulation tools. Your responsibilities As a PhD student, you will develop and lead original research within the broad theme of reconfigurable
-
The Faculty of Engineering, Department Toegepaste mechanica, is looking for a PhD-student with a doctoral grant. More concretely your work package, for the preparation of a doctorate, contains: The
-
Job description PhD Researcher for next-generation WiFi chip design on Software-Defined Radio About the employer Ghent University is a world of its own. Employing more than 15.000 people, it is
-
this PhD programme, the student will focus on developing an accelerated digital neuromorphic spiking neural network and its learning rules using FPGA devices. They will first implement on FPGA spiking neural
-
The Department of Electrical & Computer Engineering (ECE) at The University of Alabama is recruiting motivated PhD students to join our cutting-edge research program.Qualified applicants can
-
This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
-
, considering discrete modulation; Contribute to the implementation of digital signal processing algorithms in a FPGA platform; Contribute to the implementation of information reconciliation algorithms in a GPU
-
longer sustainable. This project pioneers a new paradigm: we design smart, low-power digital AI co-processors that learn and correct the imperfections of their analog counterparts in real-time. As a PhD
-
platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile