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Field
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-tracking and behavioural measurements. As a PhD Candidate, you will be part of an international network of 13 research labs located throughout Europe working on the EU-funded HUM.AI.N-ACCENT project
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GeoAI Expert with a strong track record in geospatial artificial intelligence, data science, and environmental analytics. You have demonstrated expertise in interpreting and applying AI-based results
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different species behave in swarms, how they use sensory cues from their environment, bringing new hindsight about the evolution of collective behaviour. You will deploy a multi-camera 3D tracking system in
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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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. 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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subprojects: To identify the type of people that are most often and most intensely exposed to algorithmic persuasion attempts on TikTok and the characteristics of these attempts you will use eye-tracking and
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of these attempts you will use eye-tracking and 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
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. Furthermore, traditional business models are starting to alienate parts of the general public by losing track of their interests and concerns. Overall, these issues are complex, because society changes in ways
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sub-project; a PhD track, focusses on the characteristics of transformative competencies to be achieved as learning outcomes, and pathways to identify that set, in co-creation with stakeholders
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characterized by applying protein biochemistry methods. In addition, you will study plant resistance in different tissues by employing bioluminescent Xcc reporter strains that allow us to non-invasively track