Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Delft University of Technology (TU Delft); yesterday published
- Radboud University
- Eindhoven University of Technology (TU/e); Eindhoven
- Delft University of Technology (TU Delft); today published
- Leiden University
- University of Twente (UT)
- University of Twente
- CWI
- Eindhoven University of Technology (TU/e); today published
- Eindhoven University of Technology (TU/e); yesterday published
- Erasmus University Rotterdam
- Leiden University; Leiden
- University of Twente (UT); Enschede
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- ARCNL
- Delft University of Technology
- Maastricht University (UM); Maastricht
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- The Open Universiteit (OU)
- The Open Universiteit (OU); today published
- Tilburg University
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); today published
- University of Groningen; Groningen
- University of Twente (UT); 26 Sep ’25 published
- Utrecht University; Utrecht
- VU Amsterdam
- Wageningen University and Research Center
- 25 more »
- « less
-
Field
-
available advanced simulation tools (CST, GRASP) to realize the design for a prototype that will demonstrate the performance of our chosen concept. We will compare performance, cost and functionality using
-
analog circuits for implementing ONNs for computing. Modeling, simulate and benchmark different computing tasks such as sensor data processing. Explore ONN implementation topology and its energy efficiency
-
for implementing ONNs. Modeling, simulate and benchmark different computing tasks such as combinatorial optimisation tasks and solving partial/ordinary differential equations with ONNs. Design and tapeout ONN chips
-
, simulations and cutting-edge data to uncover the origins of black holes and neutron stars, linking theory with the latest discoveries in this rapidly growing field. It has been just over a decade since the
-
-based modelling, quantitative resilience assessment, and risk analysis to simulate and optimise resilience strategies. The framework will be tested and refined through pilot studies in collaboration with
-
application the following documents: CV The transcripts of your Master’s studies to date A completed copy of the application form A copy of (a draft of) your Master’s thesis (optional) A letter of motivation
-
of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate
-
mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room
-
to study how this differentiation process can be modulated. These experiments will be complemented with computational simulations of mechanobiology-mediated angiogenesis, to further dissect the contributions
-
understand the EUV-emitting plasma through radiation-hydrodynamics simulations Large amount of (image) data and a wide range of existing data analysis tools, allowing you to apply and develop your data