Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Chalmers University of Technology
- Curtin University
- University of Tübingen
- University of Nottingham
- CWI
- Cranfield University
- Forschungszentrum Jülich
- GFZ Helmholtz Centre for Geosciences
- Nature Careers
- Swinburne University of Technology
- University of Adelaide
- ; Brunel University London
- ; City St George’s, University of London
- ; University of Nottingham
- ; University of Warwick
- Aalborg University
- Carnegie Mellon University
- Erasmus MC (University Medical Center Rotterdam)
- GFZ Helmholtz-Zentrum für Geoforschung
- Ghent University
- Imperial College London
- La Trobe University
- Leibniz
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- Queensland University of Technology
- RWTH Aachen University
- Reykjavik University
- Saarland University •
- Technical University Of Denmark
- Technical University of Munich
- Umeå University
- University of Antwerp
- University of Cambridge;
- University of Southern Queensland
- University of Utah
- Vrije Universiteit Brussel
- 31 more »
- « less
-
Field
-
partners across Europe to deliver a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a
-
/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
-
, the student will collaborate with researchers who apply data assimilation and machine learning methods to the developed models. Your responsibilities: Analysing a global compilation of paleomagnetic sediment
-
Understanding (Prof. Dr. Martin Weigert) Research areas: Machine Learning, Computer Vision, Image Analysis Tasks: fundamental or applied research in at least one of the following areas: machine learning
-
with expertise in materials characterisation, computer vision, computational modelling, and machine learning. The other PhD positions connected to the project are: PhD Student Position in Generative
-
Full-time enrolment in a PhD program at Curtin University Background in artificial intelligence, computer vision, or structural/civil engineering Demonstrated research experience, with evidence of
-
to applicants with published research or exceptional academic performance. Experience in computer vision or audio processing is desirable and will be considered an advantage. A doctoral candidate is expected
-
a world-class doctoral training programme in risk assessment, resilience engineering, and smart technologies. Its scientific vision targets: (1) the development of a holistic multi-hazard risk
-
of the position: Follow the faculty’s PhD program Plan design and carry out experiments and their analysis Prepare research articles for peer-reviewed journals (min. 3) Be willing to present results at conferences
-
motivated PhD student to join our interdisciplinary team to help address critical challenges in high-speed electrical machine design for electrified transportation and power generation. Together, we will make