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Vacancies Academic staff Support staff UT Student Jobs UT as employer UT as employer Employment conditions Career and development Pre and onboarding Tenure Track PhD EngD Working as a UT student
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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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-organization of active particles. Fabricate and characterize light-driven microswimmers. Use advanced optical microscopy and particle tracking to analyze their motion and interactions. Investigate emergent
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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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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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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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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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. For this position, a C1 level of English is desired. You can see there are plenty of challenges and opportunities for development in this role. So even if you don’t yet have the full track record described in
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such as malicious advertising, digital skimming and stealthy online tracking. By leveraging recent advances in machine learning and browser automation, the project aims to provide tools, techniques and