Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- European Space Agency
- University of Twente (UT)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Utrecht University
- Wageningen University & Research
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University Medical Center (Radboudumc); Published 5 Dec ’25
- Tilburg University
- University of Twente
- 5 more »
- « less
-
Field
-
An already acquired Phd in Electrical Engineering, Computer Science, Applied Mathematics, or a relevant field Affinity for formal and simulation models, as well as algorithmic solutions to problems
-
of generated sequencing data. You are encouraged to bring your own expertise to the current project and contribute your own project ideas. While working on this project, you will hone your technical skills as
-
for dialysis that potentially replaces kidney function. Your job Patients whose kidneys fail, unfortunately die within days or weeks without replacement therapy. Current replacement therapies have severe
-
the Teratom project, led by the Technical University Eindhoven, and financed by National Growth Fund NXTGEN Hightech programme: Future-proof high-tech equipment. Qualifications A PhD degree in physics, physical
-
requirements A PhD degree in physics, materials, or electrical science and engineering Solid and proven understanding of ultrasound wave physics, transducers, signal processing, and basic electronics Advanced
-
-resilient-6g-wireles… Requirements Specific Requirements Motivated researcher, with a PhD in in Electrical Engineering, Computer Science, Telecommunications, Applied Physics or a related topic, with excellent
-
seek to form a team of dedicated researchers who are committed to exploring the generative possibilities of engaged scholarship. The research team – consisting of three PhD candidates, one postdoctoral
-
the battery and propose design and operational strategies to overcome them. A core feature of your work will be combining multiphysics modelling for cell design with electrochemical testing, e.g. charge
-
. Background: You hold a PhD in Computer Science, Machine Learning, Electrical Engineering, Embedded Systems or related fields. Core Expertise: Strong expertise in Federated Learning and/or Continual Learning
-
replacement therapy. Current replacement therapies have severe shortcomings. Kidney transplantation is not available for 25% of the patients, while eligible patients wait years for donor kidneys, and recipients