Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Inria, the French national research institute for the digital sciences
- University of Exeter
- University of Luxembourg
- Aalborg University
- CNRS
- Radix Trading LLC
- The University of Manchester
- The University of Newcastle
- Tilburg University
- University of Antwerp
- University of East Anglia
- University of Primorska
- University of Twente (UT)
- AIT Austrian Institute of Technology
- Deutsches Elektronen-Synchrotron DESY
- ETH Zürich
- Forschungszentrum Jülich
- Graz University of Technology
- Institute of Photonic Sciences
- KU LEUVEN
- Kaunas University of Technology
- Leiden University
- Luxembourg Institute of Science and Technology
- Monash University
- Naturalis
- Norwegian University of Life Sciences (NMBU)
- Poznan University of Physical Education, POLAND
- Swansea University
- Technical University of Munich
- The University of Edinburgh;
- Theory of Nanophotonics group
- Umeå University
- University of Birmingham
- University of Copenhagen
- University of Twente
- Università degli Studi di Brescia
- 28 more »
- « less
-
Field
-
structural systems and ULS / SLS design concepts Experience in structural dynamics and/or vibration analysis is an added asset Familiarity with finite element modelling (e.g. ABAQUS) and probabilistic methods
-
to accurate sample reconstructions using advanced signal processing and tomographic reconstruction algorithms. With the inclusion of noise the object estimation accuracy will be based on statistical concepts
-
the integration of advanced sensing technologies, digital twins, and Internet of Things (IoT) infrastructures. In acoustics, monitoring technologies have traditionally focused on environmental noise monitoring and
-
between excited electronic states and the wildly vibrating atoms in these “soft semiconductors”. This can lead to the trapping of charge carriers and excitons (bound electron-hole pairs), shifted and
-
image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust to noise
-
benefits rather than high-quality scientific evidence. This advertised PhD studentship will aim to evaluate mechanisms underlying potential vibration-induced changes in motor and non-motor symptoms. More
-
). Online vibrational spectroscopy measurements (such as Raman and FTIR). Infrared microscopy imaging of individual microbial cells. Reference analyses of the bioprocess samples with standard analytical
-
networks for quantum communication and networking. In contrast to classical optical signals, quantum states are extremely fragile and degrade rapidly due to loss, noise, and decoherence, especially over long
-
it is scalable, has a wide aperture (to maintain a good signal-to-noise ratio), a wide bandwidth, and avoids mechanically movable components. Nonetheless, it must be able to capture light signals from
-
nanogenerators. They enable self-diagnostics and vibration energy harvesting to make platforms more robust and energy efficient. Highly customized 3D-MIDs may be rapidly fabricated using multi-material extrusion