Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- DAAD
- Cranfield University
- Technical University of Denmark
- University of Amsterdam (UvA)
- Vrije Universiteit Brussel
- ; University of Southampton
- Centre for Genomic Regulation
- Inria, the French national research institute for the digital sciences
- International PhD Programme (IPP) Mainz
- Linköping University
- Nature Careers
- Newcastle University
- Radboud University
- The University of British Columbia (UBC)
- University of Adelaide
- University of Amsterdam (UvA); Amsterdam
- University of Copenhagen
- University of Southern Denmark
- University of Surrey
- Università di Pisa
- 11 more »
- « less
-
Field
-
that may empower consumers to resist persuasion and reduce harmful consequences? Are you passionate about advertising, algorithms and social media? Then apply for this PhD project focused on demystifying
-
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
-
network aims to deliver fiber-optic quality experiences over wireless links by building the theoretical, algorithmic, and architectural foundations of THz systems. It introduces ultra-MIMO (multiple-input
-
modes (e.g., HCCI) for net-zero fuels like hydrogen and ammonia. A key innovative pillar is the development of an AI-driven control strategy. Machine learning algorithms, including reinforcement learning
-
. Expected outcomes include: development of novel algorithms that significantly improve predictive accuracy for equipment failure; creation of scalable monitoring systems that reduce operational costs
-
algorithms to compute similarity between interaction interfaces across millions of comparisons. This hinders identification of novel modes of protein binding, i.e. those predicted by AlphaFold, and it hinders
-
to establish an international quantum computing programme, funded by the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor
-
park, in a dynamic ecosystem that brings together academics and companies of all sizes. The Signal team of the i3S Laboratory (https://i3s.univ-cotedazur.fr/signal ), aims to develop advanced, innovative
-
and in-house developed software to predict structures of interacting proteins and in collaboration with the Steinegger lab, developed highly efficient AI-based algorithms to compute similarity between
-
-house database of experimental real-world data enabling large-scale validation of developed algorithms. Wind turbine drivetrains are critical components, and their failures can lead to significant