48 algorithm-"DIFFER"-"Foundation-for-Research-and-Technology-Hellas" PhD positions in Netherlands
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- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- University of Amsterdam (UvA)
- University of Groningen
- Erasmus University Rotterdam
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Leiden University
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published today
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); today published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); 4 Oct ’25 published
- Eindhoven University of Technology (TU/e); yesterday published
- Leiden University; Leiden
- University of Groningen; Groningen
- University of Groningen; 26 Sep ’25 published
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behavioral component as it would be interesting to study how consumers perceive algorithmic discrimination of different kinds and how companies can mitigate negative perceptions. During their PhD
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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
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limitations that cannot be overcome with bigger models and larger datasets. A critical issue is the embedding of hierarchies, for which a different geometry is better suited, namely hyperbolic geometry. Seminal
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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
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. 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
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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
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, enabling energy-efficient, quiet, and long-duration monitoring of ecosystems. The research will integrate novel lightweight perception modalities for robust perching in the wild, agile control algorithms
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models for the integration of healthcare data specifically incorporating patient preferences. This includes challenges such as how to adapt to different perspectives and data models as well as ensuring
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issue is the embedding of hierarchies, for which a different geometry is better suited, namely hyperbolic geometry. Seminal works have shown that for embedding hierarchies, we should abandon Euclidean
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such as how to adapt to different perspectives and data models as well as ensuring high quality and robust integration. The PhD is situated in the Intelligent Data Engineering Lab and will be supervised by