Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Carnegie Mellon University
- NTNU - Norwegian University of Science and Technology
- University of Nottingham
- Aalborg University
- Technical University of Munich
- Durham University
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- KU LEUVEN
- Manchester Metropolitan University;
- Naturalis
- The University of Manchester
- University of Antwerp
- Vrije Universiteit Brussel
- AALTO UNIVERSITY
- Delft University of Technology (TU Delft)
- Manchester Metropolitan University
- Max Planck Institute for Biological Cybernetics, Tübingen
- Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
- Monash University
- National Research Council Canada
- Norwegian Institute of Bioeconomy Research
- Tilburg University
- University of Basel
- University of Groningen
- University of Luxembourg
- University of Twente
- 18 more »
- « less
-
Field
-
scientists, engineers, data scientists, and industry stakeholders. Assets: Experience in the operation of servo-hydraulic test equipment and software, particularly from MTS, and high temperature hardware
-
performance (10–50 Hz) on hardware with constrained memory, power and compute. The project will investigate training, adapting and deploying compact Physical AI models efficiently. Work may cover vision
-
Are you interested in shaping the future of intelligent and secure computing systems where artificial intelligence meets reliable embedded hardware? We are looking for a motivated PhD candidate, as
-
environment will be developed using hardware-in-the-loop components, enabling realistic scale-up to a full computing center and systematic evaluation of advanced operating strategies. Specifically, the PhD
-
optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads Perform characterization and modeling of electronic and optical devices Develop hardware
-
. The focus of this PhD position is the development, characterization and experimental evaluation of advanced sensing hardware. Signal processing and Artificial Intelligence are applied as enabling technologies
-
to the properties of live sensor data: sparse, unevenly sampled, motion-distorted and partially observed Implement and evaluate the resulting systems on embedded hardware and on NIBIO's robot platforms Professional
-
. The project offers a unique opportunity to perform cutting-edge research that combines hardware development, signal processing, AI-driven image analysis, and clinical translation.
-
hardware and software vulnerabilities and mitigations - Experience with RF and SDR technologies Requirements: BS degree in Computer Science or related quantitative discipline, with ten (10) years of relevant
-
. You can also attend – or take part in – the fascinating internal information session ‘Naturalis Draait Door’. Nice extras such as discounts on software and hardware for private use, collective health