Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- Fraunhofer-Gesellschaft
- Lulea University of Technology
- University of Groningen
- University of Nottingham
- University of Southern Denmark
- ; The University of Edinburgh
- Ghent University
- ; Loughborough University
- DAAD
- Forschungszentrum Jülich
- NTNU - Norwegian University of Science and Technology
- Technical University of Munich
- The University of Chicago
- University of British Columbia
- ; Cranfield University
- ; Swansea University
- ; The University of Manchester
- ; University of Bristol
- ; University of Exeter
- ; University of Leeds
- ; University of Nottingham
- ; University of Oxford
- AALTO UNIVERSITY
- Aalborg University
- Abertay University
- Chalmers University of Technology
- Duke University
- Leiden University
- Ludwig-Maximilians-Universität München •
- Nature Careers
- Radboud University
- Technical University of Denmark
- The Chinese University of Hong Kong
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Copenhagen
- University of Nebraska–Lincoln
- University of Twente
- University of Vienna
- Vrije Universiteit Brussel
- Yeshiva University
- 33 more »
- « less
-
Field
-
, Cranfield fosters innovation through applied research, bridging academia and industry. Students will have access to state-of-the-art laboratories, hardware/software resources, and design facilities
-
: The successful applicant will work in a stimulating scientific environment, the Department for Structural and Computational Biology at the Max Perutz Labs, a research institute established by the University
-
Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
-
Location: South Kensington and White City Campuses Contract: Full-time, Fixed-term appointment for 48 months initially, with the potential to extend depending on programme requirements About the
-
. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
-
., barrier certificates) is advantageous. You will collaborate with experts in control theory and have opportunities to test theoretical insights in simulation and hardware environments. To apply please