Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Radboud University
- University of Groningen
- AMOLF
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e); yesterday published
- University of Groningen; Groningen
- University of Twente
- University of Twente (UT)
- 3 more »
- « less
-
Field
-
The PhD position is part the prestigious POLARIS (Pathway towards Opportunities for Large scale Applications of Radically Integrated Systems) project. Polaris is a large flagship program (funded by
-
validated for designs based on FeFETs. The work will be performed within a multidisciplinary team of PhD students working at different levels, starting from advanced ferroelectric materials and circuit design
-
energetic constraints on circuit function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics
-
validated for designs based on FeFETs. The work will be performed within a multidisciplinary team of PhD students working at different levels, starting from advanced ferroelectric materials and circuit design
-
fascinated by electromagnetic modeling and numerical problem solving? Do you want to contribute to the development of state-of-the-art metrology for integrated-circuit production? Information Integrated
-
EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Work Activities We are seeking a motivated PhD- student to join our teams working on bistable
-
speed compact turbine-generator combination. The challenges of high speed electrical machine design are a combination of Electromagnetic design (how to design the magnetic and electrical circuits
-
fascinated by the incredible capabilities of neural networks? Are you interested in applying theoretical methods to understand computational efficiency in neural systems? If so, come and join us as a PhD
-
design (how to design the magnetic and electrical circuits that interact to convert mechanical power into electrical power). Thermal design (how to get rid of the heat developed in the electric and
-
architectural design explorations and the implementation of software development platforms. The goal of this PhD is to create a modular and extensible simulation infrastructure that facilitates design