Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- University Medical Center Utrecht (UMC Utrecht)
- Utrecht University
- Amsterdam UMC
- DIFFER
- Princess Máxima Center for Pediatric Oncology
- Tilburg University
- University Medical Center Groningen
- University of Twente
- Wageningen University & Research
- Wetsus - European centre of excellence for sustainable water technology
- 6 more »
- « less
-
Field
-
, silicon-proven AI/ML accelerator for transmitter error correction (digital predistortion/calibration). Your work will sit at the intersection of machine learning, DSP, and digital IC design, and you will
-
Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
-
computer models as well as being in the lab. You have affinity with analytical determination of pharmaceuticals in difficult matrices. You are able to dive into topics outside your current knowledge base
-
you to apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by
-
28 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Computer engineering Engineering » Simulation engineering Researcher Profile
-
Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
-
/phd-candidate-in-machine-learni… Requirements Additional Information Website for additional job details https://www.academictransfer.com/357920/ Work Location(s) Number of offers available1Company
-
to the adaptation of the Environmental Noise Directive for these new technologies. Your main focus will be to develop machine learning-based drone noise models that will be able to generate an accoustic footprint
-
of (translational) neuroscience and applied physics and biomechanics, contributing to a project with major implications for health prevention in groups at high-risk of TBI, such as athletes and military personnel
-
to a quantum computer. Given the near-term deployment of quantum computing technologies, the time to deploy post-quantum secure cryptography is now. Further, in a world with quantum computers, one can