Sort by
Refine Your Search
-
Category
-
Employer
- Eindhoven University of Technology (TU/e)
- ARCNL
- Delft University of Technology (TU Delft)
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam (UvA)
- Centrum Wiskunde en Informatica (CWI)
- Leiden University
- University of Groningen
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Amsterdam UMC
- HFML-FELIX
- Maastricht University (UM)
- Radboud University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Sanquin Blood Supply Foundation (Sanquin)
- Tilburg University
- University Medical Centre Groningen (UMCG)
- University of Twente (UT)
- Wageningen University & Research
- 10 more »
- « less
-
Field
-
– AI-generated text, audio, images, and video. However, given their still developing cognitive skills, they may also be least equipped to deal with synthetic content. This project investigates how
-
-inspired computing paradigm with the potential to drastically reduce energy consumption while enabling faster inference than conventional digital architectures. A major challenge, however, is the development
-
machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
-
Our team We develop next generation optical imaging and sensing platforms in the context of future biomedical, pharmaceutical and clinical applications. We are particularly interested in label-free
-
households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models produce data
-
accurate despite the large temperature gradients present in cryogenic experiments. You will explore full-field techniques such as digital image correlation, speckle and grid methods, interferometry, digital
-
-agent" that integrates multimodal health data, including MRI examinations, PSMA PET/CT imaging, histopathology results, and longitudinal electronic health records, to support clinical decision-making in
-
imaging. The department provides access to modern experimental facilities, including multiple eye-tracking and combined EEG and eye-tracking laboratories. The project also benefits from access
-
Description Do you wish to join the new Marie Sklodowska-Curie Action Doctoral Network PREFERENCE and help us make a transformative difference in the field of molecular imaging? Then, apply to join the
-
. These new systems will support better medical imaging, faster computers, and greener high-tech manufacturing. Wafer handling: Silicon wafers are the base material for the fabrication of modern electronic