Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Aalborg University
- Cranfield University
- Linköpings universitet
- Nature Careers
- Norwegian University of Life Sciences (NMBU)
- Technical University of Denmark
- Forschungszentrum Jülich
- Loughborough University
- University of Luxembourg
- Aalborg Universitet
- Curtin University
- Graz University of Technology
- Leiden University
- Mälardalen University
- Newcastle University
- Tallinn University of Technology
- Technical University of Munich
- UiT The Arctic University of Norway
- University of Amsterdam (UvA)
- University of Exeter
- University of Exeter;
- University of Innsbruck, Institute of Computer Science
- University of Nottingham
- University of Southern Denmark
- University of Tübingen
- Academic Europe
- Brookhaven National Laboratory
- CNRS
- Carnegie Mellon University
- Chalmers University of Technology
- Chalmers tekniska högskola
- Computer Vision Center
- Computer Vision Center (CVC)
- DAAD
- Delft University of Technology (TU Delft)
- Drexel University
- Edmund Mach Foundation
- Eindhoven University of Technology (TU/e)
- Empa
- Fraunhofer-Gesellschaft
- GFZ Helmholtz-Zentrum für Geoforschung
- IMEC
- IRTA
- Institute of Image-Guided Surgery of Strasbourg
- Instituto de Telecomunicações
- La Trobe University
- Linköping University
- Liverpool John Moores University
- Ludwig-Maximilians-Universität München •
- Luleå University of Technology
- Luleå tekniska universitet
- Maastricht University (UM); yesterday published
- Manchester Metropolitan University;
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Northeastern University
- Oxford Brookes University
- Queensland University of Technology
- Saarland University •
- School of Business, Society and Engineering
- The University of Alabama
- The University of Edinburgh
- UNIVERSITY OF BUCHAREST
- Universidade de Coimbra
- Universidade de Vigo
- University of Adelaide
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published today
- University of Antwerp
- University of Birmingham;
- University of Bremen •
- University of British Columbia
- University of California, Los Angeles
- University of Cambridge
- University of East Anglia
- University of Galway
- University of Oxford;
- University of Sheffield
- University of Southern Queensland
- University of St. Thomas
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Warwick
- Uppsala universitet
- VSB - Technical University of Ostrava
- Vrije Universiteit Brussel
- noma de Barcelona
- École nationale des ponts et chaussées
- 81 more »
- « less
-
Field
-
to the interests of one of the School’s research groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional
-
/ 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
-
develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
-
be in advanced courses in computer science, mathematics, AI, machine learning or similar. Alternatively, you have gained essentially corresponding knowledge in another way. The applicant is expected
-
the field of multi-modal data analysis and generation, integrating computer vision, natural language processing (NLP), and machine learning to enable innovative interactions with unmanned aerial vehicles
-
in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability
-
designed to meet multiple needs in marine biodiversity monitoring. The project aims to develop embedded novel deep learning and computer vision algorithms to extend the system’s capabilities to classify
-
the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
-
learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as
-
to your work duties after employment. Required selection criteria You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or