Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Technical University of Denmark
- Curtin University
- DAAD
- Nature Careers
- University of Groningen
- ;
- Cornell University
- Cranfield University
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Humboldt-Stiftung Foundation
- University of Nottingham
- University of Southern Denmark
- University of Twente
- ; Swansea University
- ; University of Warwick
- CNRS
- Erasmus MC (University Medical Center Rotterdam)
- Ghent University
- Hannover Medical School •
- Imperial College London
- KNAW
- Karlsruhe Institute of Technology •
- Leibniz
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Swinburne University of Technology
- TU Dresden
- Technical University of Munich
- University of Greenwich
- University of Oslo
- University of Reims Champagne-Ardenne (URCA)
- University of Stuttgart •
- University of Warwick
- VIB
- Østfold University College
- 26 more »
- « less
-
Field
-
AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
-
AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
-
focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
-
with UV and radioactive detector, dose calibrator, automatic gamma counter, digital autoradiography, animal blood cell counter, and a range of small animal imaging systems (bioluminescence/fluorescence
-
applications, facilitating the transition of image-based measurement methods from laboratory research to clinical practice. Digital Image Correlation (DIC) is a well-established, non-contact optical technique
-
for realizing the physical learning paradigm developed at AMOLF. You will integrate these memristive devices with the reconfigurable nonlinear processing units (RNPUs) developed in the NE partner group to harness
-
lengthy processing times associated with sequencing. This PhD project aims to develop innovative artificial intelligence (AI) methodologies by integrating histopathology images and RNA sequencing data
-
holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3) the advancement
-
focus will be on biomechanics, image processing, machine learning (ML), artificial intelligence (AI), and metrology, the student will also contribute to the co-design of cadaver experiments and data
-
researchers working across various fields within the humanities and social sciences, like sociology, and information and communication sciences. Within the study of professionalisation processes, each research