Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Curtin University
- Swinburne University of Technology
- Technical University of Denmark
- ;
- Nature Careers
- SciLifeLab
- Technical University of Munich
- NTNU - Norwegian University of Science and Technology
- Chalmers University of Technology
- Cranfield University
- University of Twente
- ; The University of Manchester
- University of Antwerp
- ; University of Leeds
- DAAD
- ETH Zurich
- Monash University
- RMIT University
- ; Swansea University
- ; University of Birmingham
- ; University of Warwick
- Aalborg University
- CWI
- Fraunhofer-Gesellschaft
- Ghent University
- Hannover Medical School •
- KNAW
- Leibniz
- Linköping University
- Lulea University of Technology
- Umeå University
- University of Groningen
- University of Luxembourg
- University of Oslo
- ; Cranfield University
- ; Durham University
- ; University of Oxford
- ; University of Reading
- Ariel University
- Deutsches Elektronen-Synchrotron DESY •
- Dresden University of Technology •
- Empa
- Forschungszentrum Jülich
- ICN2
- Institut Pasteur
- Institute of Photonic Sciences
- Karlsruhe Institute of Technology •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Sustainable Materials •
- Mälardalen University
- Queensland University of Technology
- Swedish University of Agricultural Sciences
- The Norwegian School of Sport Sciences
- The University of Newcastle
- Trinity College Dublin
- University of Adelaide
- University of Alaska
- University of British Columbia
- University of Cambridge
- University of Copenhagen
- University of Lund
- University of Nottingham
- University of Southern Denmark
- University of Southern Queensland
- University of Stuttgart •
- University of Vienna
- VIB
- Vrije Universiteit Brussel
- Østfold University College
- 60 more »
- « less
-
Field
-
We are currently offering a PhD student position focused on developing new methods for molecular engineering that leverage live-cell imaging data and artificial intelligence (AI). The position is a
-
of chemical technology, applied physics and biomedical technology. Our fields of application include sustainable energy, process technology and materials science, nanotechnology and technical medicine. As part
-
orbital parameter extraction using image processing techniques. The ideal candidate should have a strong background in physics, engineering or a related field, as well as experience working with programming
-
at the same time so special. The originality of the experiments is in the combination of X-ray based scattering and imaging methods to monitor the changes at the particle scale during testing. Research
-
Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It focuses on developing an innovative ground-based robotic inspection system
-
Biomedical Engineering conducts leading research in image analysis, computer vision, and machine learning, with a growing emphasis on generative AI and AI for scientific discovery. Our mission is to develop
-
The rapid growth of the data economy and the privacy implications accompanying it have motivated a new paradigm shift towards decentralisation of data on the Web, which aims to foster data
-
(or equivalent) in an appropriate discipline. Ideal candidate will have some prior knowledge in deep learning and computer graphics. Subject area: Medical imaging, biomedical engineering, computer science & IT
-
Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly of Technology, of Innovation and of
-
the sites to normal use. X-ray backscatter imaging is a non-destructive analysis technique, where X-rays are directed at a target and Compton/back-scattered photons imaged. Existing industrial systems with