Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Leiden University
- Sanquin Blood Supply Foundation (Sanquin)
- Utrecht University
- Wageningen University & Research
- University of Groningen
- AMOLF
- ARCNL
- Amsterdam UMC, location VUmc
- Erasmus University Rotterdam
- European Space Agency
- KNAW
- Universiteit Leiden
- University of Twente
- 5 more »
- « less
-
Field
-
design, fabricate, and characterize dynamic surfaces that form tactile features such as corrugations, Braille-like patterns, responsive fibres, suction-inspired structures, and switchable soft-hard
-
combinations that support the creation of innovative and sustainable food products. Another example is using large language model (LLM) tools to automatically extract and structure fragmented information from
-
structures with extraordinary precision and do so quickly enough to keep up with large-scale production. This creates a fascinating computational challenge: how can we infer hidden physical properties from
-
to develop a physics-based rational approach to optimal parameter reconstruction from diffraction data from designer multiple scattering structures, designed for, e.g., measuring lithography performance in
-
. Methodologically, you will use qualitative methods such as field observations, focus group discussions, semi-structured interviews, and participatory/ co-creation of maps. More specifically, you will: Travel
-
for new and improved metrology solutions to meet these challenges. Digital holography (DH) is a technology that can provide single shot full wavefield imaging of flat single layered structures. However, its
-
Computational de novo design of VHH and scFv binders to blood coagulation factors such as factor Xa and prothrombin. Wet lab production and screening of the aforementioned binders. Optimization
-
: designing, performing and interpreting experiments for simultaneous texturization and flavor generation in PBMAs; contributing to the development and optimization of analytical methods; publishing your
-
catalyst structure–performance relationships. The most promising catalysts will then be optimized and evaluated under practically relevant electrolysis conditions, contributing to the development of a
-
, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second position will focus primarily on the geometric representation of complex data