Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- University of Groningen
- Utrecht University
- Eindhoven University of Technology (TU/e)
- AcademicTransfer
- Delft University of Technlogy
- Delft University of Technology
- KNAW
- Leiden University
- Maastricht University (UM)
- NIOZ Royal Netherlands Institute for Sea Research
- TNO
- University of Twente
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Wetsus
- 7 more »
- « less
-
Field
-
, microCT scanners and electron microscopy (SEM and TEM). Position As a PhD student you will combine sea-going research and laboratory analysis to study the diversity, abundance and community composition
-
structures. Job description The ASSESS project aims to bridge the gap between research and industry by designing, manufacturing and testing the next generation of smart FRP composites. Smart composites will
-
Job related to staff position within a Research Infrastructure? No Offer Description Join the TU Delft team developing optical fibre sensing technology for smart FRP composites for wind energy Job
-
and vibrational spectroscopy (e.g. Raman) to monitor in (close to) real-time thermal and compositional variations across the cell, including local anomalies such as hot spots, and cracks. Combined with
-
read more about this here . Research Fields: Smart composites that are manufactured with advanced automatic processes (AFP-Automatic Fiber Placement and cutting-edge sensing technologies, using both
-
and ML (Politecnico di Bari). This PhD is part of the ASSESS project, you can read more about this here . Research Fields: Sensor integration, manufacturing of fibre reinforced composites Numerical
-
performance and safety. In the frame of project ASSESS, we want to develop an innovative early crack detection solution. This solution leverages a novel CNT-based composite material combined with a Surface
-
Job related to staff position within a Research Infrastructure? No Offer Description PhD Vacancy for a Doctoral Candidate (DC6) in Advanced numerical simulations for SHM of smart FRP composites in
-
, random-vibration-based methods for robust and population-wide structural health monitoring (SHM) of smart CFRP composite structures. This project will address challenges posed by uncertainty in materials
-
chemical composition. The use of graphene also inherently proposes a solid-state alternative to biopores. We will leverage the outstanding electrical, chemical and mechanical properties of monolayer graphene