Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Chalmers University of Technology
- KU LEUVEN
- Delft University of Technology (TU Delft)
- Northeastern University
- AALTO UNIVERSITY
- CNRS
- Computer Vision Center
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- Leiden University
- Lunds universitet
- New York University
- Technical University of Munich
- Umeå University
- University of Turku
- Vrije Universiteit Brussel
- Aarhus University
- Aarhus University (AU)
- DI ENS
- Eindhoven University of Technology (TU/e)
- Institute of Physical Chemistry, Polish Academy of Sciences
- Radboud University
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF HELSINKI
- Umeå universitet
- Umeå universitet stipendiemodul
- Universiteit Leiden
- University of Graz
- University of Groningen
- University of Twente (UT)
- Université Bourgogne Franche-Comté
- 22 more »
- « less
-
Field
-
Develop event-driven algorithms and software components for autonomous experiment control and adaptive image acquisition Build scalable, maintainable, and open-source software for high-throughput image
-
the project. What you will do Conduct original and high-quality research in machine learning and computer vision; Develop novel algorithms for adapting and specialising visual foundation models; Publish
-
estimates, and emission algorithms. The relevant processes at the individual vessel level can be modelled in detail, and their performance can be tracked in time and space. Corridor scale effects will be
-
to both technical metrics and educational outcomes. Responsible AI and fairness auditing. Conduct algorithmic fairness validation of the CLARA system, develop documentation on data governance and GDPR
-
or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
-
or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
-
algorithms that feature built-in verifiability and robust defensive capabilities. Collaborate closely with top-tier European universities and industrial partners. Participate in project implementation and
-
for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized
-
and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications
-
design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with