Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Nottingham
- Aalborg University
- Nature Careers
- HONG KONG BAPTIST UNIVERSITY
- University of Antwerp
- University of Texas at El Paso
- Carnegie Mellon University
- Linköping University
- Uppsala universitet
- Aalborg Universitet
- CNRS
- George Mason University
- Hasselt University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Inria, the French national research institute for the digital sciences
- Leiden University
- Max Planck Institute for Intelligent Systems, Tübingen, Tübingen
- Northeastern University
- Norwegian University of Life Sciences (NMBU)
- Oak Ridge National Laboratory
- Technical University of Munich
- Umeå University
- Cranfield University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Empa
- European Synchrotron Radiation Facility
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- Harvard University
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Imperial College London;
- KU LEUVEN
- King's College London
- Leibniz
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Mid Sweden University
- Newcastle University
- Queensland University of Technology
- Saarland University •
- SciLifeLab
- Technical University of Denmark
- The University of Chicago
- UNIVERSITY OF VIENNA
- Umeå universitet
- University of Bremen •
- University of Cambridge
- University of East Anglia
- University of Exeter
- University of Ljubljana
- University of New Mexico
- University of Plymouth
- University of Southern Denmark
- University of St. Thomas
- University of Surrey
- University of Surrey;
- University of Tübingen
- University of Vienna
- Universität Wien
- 53 more »
- « less
-
Field
-
A Human-Factors Investigation of Automation, Decision-Support and Machine Learning in Clinical Decision-Making Tasks. This PhD project is based within the Human Factors Research Group in the Faculty
-
parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
-
applicants should have a strong academic record with a solid background in Machine Learning. Knowledge of Vision-Language-Action models and Novel View Synthesis techniques is a strong plus. Good programming
-
international research environment covering a wide variety of research areas, such as algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence
-
using multimodal approaches including advanced imaging, nano-mechanical characterisation and machine learning techniques Developing physics-informed reliability models using experimental datasets
-
relevant if there is a strong focus on data-driven modeling, machine learning, and control. In any case, a documented background or experience in control is required. Your education must correspond to a five
-
) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C
-
neuroscience at some point during academic career. Experience handling rodents in a laboratory setting. Computer experience relevant to analysis and documentation of experimental results is essential (Word
-
on the problem of making distributed machine learning robust to network outages and computational bottlenecks. The work is part of the Norwegian national AI centre SURE-AI, and the PhD student will
-
into reliable information about structural and aerodynamic behaviour remains a challenge. The PhD will develop data-driven methods that combine measurements, physics-based models, and machine learning to extract