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
- SciLifeLab
- University of Antwerp
- University of Texas at El Paso
- Carnegie Mellon University
- Linköping University
- Uppsala universitet
- Aalborg Universitet
- CNRS
- Delft University of Technology (TU Delft)
- George Mason University
- Hasselt University
- IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava
- Inria, the French national research institute for the digital sciences
- 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
- 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 •
- Technical University of Denmark
- The University of Chicago
- The University of Manchester
- UNIVERSITY OF VIENNA
- Umeå universitet
- University of Bremen •
- University of Cambridge
- University of East Anglia
- University of Exeter
- University of Ljubljana
- University of Lund
- University of New Mexico
- University of Plymouth
- University of Southern Denmark
- University of St. Thomas
- University of Surrey
- University of Surrey;
- University of Vienna
- Universität Wien
- 53 more »
- « less
-
Field
-
network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
-
/ computer vision and pattern recognition, including but not limited to biomedical applications Strong interest in applied machine learning, including but not limited to deep learning Experience utilising GPU
-
research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and
-
and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with
-
tracking and mapping, light fields, extended reality (XR) technologies, sim-to-real, synthetic data generation, and advanced computer vision and machine learning techniques. In addition, the group works on
-
from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas
-
following: Strong programming skills (preferably in Python), with experience in machine learning/AI or software engineering for interactive systems Desirable experience in game development or design using
-
Research. CS faculty lead impactful research in areas such as Artificial Intelligence, Cybersecurity, Software Engineering, Computer Systems, and Theoretical Foundations of CS. Our faculty are nationally
-
science/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
-
high-quality research in one of the Department's key research areas: (i) Artificial Intelligence and Machine Learning; (ii) Big Data and Data Management; (iii) Computer Vision and Pattern Recognition