Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Wetsus - European centre of excellence for sustainable water technology
- Delft University of Technology (TU Delft)
- Leiden University
- University of Groningen
- Delft University of Technology (TU Delft); Delft
- Eindhoven University of Technology (TU/e); Eindhoven
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e); today published
- Leiden University; Leiden
- Maastricht University (UM)
- University of Twente (UT)
- University of Twente (UT); Enschede
- Utrecht University; Utrecht
- Amsterdam UMC; today published
- Delft University of Technology (TU Delft); today published
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente
- AMOLF
- ARCNL
- Amsterdam UMC
- CWI
- Delft University of Technology
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Eindhoven University of Technology (TU/e); yesterday published
- Elestor BV
- Erasmus University Rotterdam
- KNAW
- Maastricht University (UM); yesterday published
- Nature Careers
- Radboud University Medical Center (Radboudumc)
- Radboud University Medical Center (Radboudumc); Nijmegen
- University Medical Center Utrecht (UMC Utrecht); Utrecht
- University Medical Center Utrecht (UMC Utrecht); yesterday published
- University Medical Centre Groningen (UMCG); today published
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Amsterdam
- Utrecht University; 3 Oct ’25 published
- VU Amsterdam
- Wageningen University & Research
- Wageningen University & Research; Wageningen
- Wageningen University and Research Center
- 33 more »
- « less
-
Field
-
Welcome to Maastricht University! Join us in optimizing transcranial magnetic stimulation (TMS) for personalized epilepsy treatments! PhD Candidate: Towards Personalized Brain Stimulation
-
. Process simulation software is being developed for virtual optimization of tool design and material handling, enabling first-time-right manufacturing. The predictive quality of these tools relies
-
candidate will be an integral part of the prestigious ERC Consolidator Grant, THERMODON on harnessing the unique capabilities of ONNs to solve combinatorial optimization problems. ONNs, inspired by
-
. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant patient outcomes. You will use a real-world case study on
-
organisms have been lacking. You will build on our recently developed single-cell ribosome profiling methods for C. elegans and further optimize them to apply to the early embryo. With this approach, you will
-
industrial contexts; investigate optimal levels within the product structure for deploying AM in repair and spare parts support; integrate forward and reverse flows in manufacturing and maintenance
-
and thus go beyond relatively straightforward safety and progress properties, system requirements related to the timing of events and the results from performance optimization need to be included in
-
), live-cell imaging, and transcriptomic analyses. Laboratory work will involve optimizing protocols to convert patient-derived skin cells into neurons (iNeurons). New AONs will be screened through reporter
-
, and engineering to optimize and upscale and biodegradable structures that temporarily mimic key emergent traits using industrial-scale additive manufacturing (i.e., 3D-printing) techniques
-
optimization algorithms, you will design structures that deliberately harness modal couplings to exhibit tailored nonlinear behaviour, with direct applications in ultrasensitive resonant sensing. Together