Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- University of Twente
- Utrecht University
- Delft University of Technology (TU Delft); Delft
- Leiden University; Leiden
- Universiteit van Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University of Groningen
- University of Twente (UT); Enschede
- Wageningen University and Research Center
- 2 more »
- « less
-
Field
-
PhD Position in Probabilistic and Differential Algorithms Faculty: Faculty of Science Department: Department of Information and Computing Sciences Hours per week: 36 to 40 Application deadline
-
well as to optimize the tooling geometry. These process simulations require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will: Develop efficient
-
genes. The doctoral candidate will acquire a broad set of skills, including trans-differentiation of fibroblasts into neurons (iNeurons), development and screening of antisense oligonucleotides (AONs
-
windows as well as to optimize the tooling geometry. These process simulations require efficient numerical algorithms to be practical and to enable robust optimization. Therefore, in this project you will
-
maintaining stiffness in selected directions, enabling both flexibility and strength. Their geometry-driven behavior allows for compact, monolithic designs with fewer moving parts and higher reliability. In
-
, including trans-differentiation of fibroblasts into neurons (iNeurons), development and screening of antisense oligonucleotides (AONs), live-cell imaging, and transcriptomic analyses. Laboratory work will
-
, which rely on rigid links and localized interaction points, soft robots are composed of deformable materials that can conform to complex geometries and operate safely around humans. They offer unique
-
trunk around an object. Unlike traditional robots, which rely on rigid links and localized interaction points, soft robots are composed of deformable materials that can conform to complex geometries and
-
intuitive links between search parameters and the resulting geometry or performance outcomes. The result will be an LLM-driven framework giving designers clearer cause-effect control over generative shape
-
and establish tighter, more intuitive links between search parameters and the resulting geometry or performance outcomes. The result will be an LLM-driven framework giving designers clearer cause-effect