Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- NTNU - Norwegian University of Science and Technology
- University of Groningen
- CNRS
- Cranfield University
- ISCTE - Instituto Universitário de Lisboa
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Tallinn University of Technology
- Technical University of Munich
- Umeå University
- University of Amsterdam (UvA)
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- DAAD
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Eindhoven University of Technology (TU/e)
- Empa
- Leiden University
- Linköping University
- Technical University of Denmark
- University of Amsterdam (UvA); Amsterdam
- University of Southern Denmark
- Uppsala universitet
- ; Newcastle University
- Centre for Genomic Regulation
- Curtin University
- Delft University of Technology (TU Delft); today published
- ETH Zürich
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Ghent University
- Harper Adams University
- Hasselt University
- Helmholtz-Zentrum Geesthacht
- Heraeus Covantics
- Inria, the French national research institute for the digital sciences
- International PhD Programme (IPP) Mainz
- Leibniz
- Leiden University; Leiden
- Linköpings universitet
- Loughborough University
- Lulea University of Technology
- Luleå University of Technology
- Monash University
- Newcastle University
- Newcastle University;
- Norwegian Institute of Bioeconomy Research
- Oxford Brookes University
- Radboud University
- Radboud University Medical Center (Radboudumc); Nijmegen
- Saarland University •
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- The University of Manchester
- University of Adelaide
- University of Antwerp
- University of East Anglia
- University of Groningen; 26 Sep ’25 published
- University of Sheffield
- VIB
- Vrije Universiteit Brussel
- Wageningen University & Research
- École nationale des ponts et chaussées
- 57 more »
- « less
-
Field
-
) develop novel performance metrics combining accuracy and explainability, to be tested across different AI model types; (2) devise new algorithms for selecting models optimised for holistic performance
-
data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
-
creating robust, low cost, and real-time edge-AI algorithms capable of accurately classifying diverse marine species and debris under complex and dynamic underwater conditions. The demand for such a low-cost
-
to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track mutations in evolving populations
-
to develop Computer Vision algorithm and Interfaces for collaborations with Historians teams. Specifically, the research will focus on structured data with clear repeated patterns, such as characters in a text
-
. For example, we would like to be able to track how the prevalences of different strains in a mixed sample change over time. Your role: You will develop and implement algorithms to find, quantify and track
-
data donation. To analyze how different types of people cope with algorithmic persuasion on TikTok and how this relates to how they are affected you will make use of a survey. To formulate guidelines
-
collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL (Prof. Olga Fink). IMOS focuses on the development of intelligent algorithms designed to improve the performance
-
advance scholarship on who is most often exposed to algorithmic persuasion, how different types of people cope and are affected, and how we can develop remedies to reduce negative consequences. By doing so
-
learning algorithms, and design of optical communication networks or power consumption and energy saving. The synergies of MATCH consortium act together to enable the thirteen DCs to become the next