Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- DAAD
- CNRS
- University of Amsterdam (UvA)
- Cranfield University
- Nature Careers
- Technical University of Denmark
- University of Amsterdam (UvA); Amsterdam
- Vrije Universiteit Brussel
- ; University of Sheffield
- ; University of Southampton
- Centre for Genomic Regulation
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- Heraeus Covantics
- Inria, the French national research institute for the digital sciences
- International PhD Programme (IPP) Mainz
- Linköping University
- Monash University
- Newcastle University
- Newcastle University;
- Radboud University
- St. Anna Children's Cancer Research Institute (St. Anna CCRI)
- St. Anna Kinderkrebsforschung e.V.
- TU Dresden
- Tallinn University of Technology
- The University of British Columbia (UBC)
- University of Adelaide
- University of Southern Denmark
- University of Surrey
- Università di Pisa
- 20 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
-
, algorithms and social media? Then apply for this PhD project focused on demystifying algorithmic persuasion by commercial advertisers on TikTok from a differential vulnerability perspective. Who is vulnerable
-
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
-
, the scattering geometry can be reconstructed mathematically (this is called inverse scattering). This requires both sophisticated mathematical models and efficiently implemented algorithms. In the case of wafer
-
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
-
, predictive maintenance algorithms, and digital twin technologies tailored specifically for healthcare, aviation, and sanitation industries. You will identify critical operational pain points within
-
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 the body of knowledge by enhancing the safety, relia- bility, and efficiency of automated vehicles by developing a collaborative multimodal perception system. This system leverages data from multiple sources
-
catheters – i.e., equipped with multiple electrodes – are increasingly used as they facilitate the electroanatomic mapping of the atria before the ablation phase. However, most ablation strategies neglect
-
. This is because experimental techniques to solve structures of protein complexes favor more stable interactions with larger interfaces and because we lack efficient algorithms to compute similarity between