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future of their village communities. It will do so through an interdisciplinary framework that builds upon theories and methods from cultural and rural geography and media literacy education. The project
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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have a 10% teaching load and will be given the opportunity to work on your teaching portfolio for the University Teaching Qualification (UTQ). You will be embedded in the EPAN lab(link is external
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5-year lifetime is equally interdisciplinary, with a wide variety of activities ranging from art/science programmes, large scale science festivals, citizen science and educational initiatives
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appointment is for four years and will lead to a dissertation. Approximately 10 % of your time will be spent as a teaching assistant. PhD candidates are expected to take several training courses, including
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knowledge through your experiments and analyses, hone your critical thinking skills and develop into an independent scientist. You will carefully document your findings and share them with others, for example
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from a technical and scientific perspective. The Ph.D. candidate will develop methods for uncovering DNS infrastructure dependencies at scale, relying on active measurements and graph-based analysis
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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://www.universiteitleiden.nl/en/science/chemistry/mcbim) and share responsibility of the chemical-biological part of the group, with involvement in the supervision of undergraduate students (BSc and MSc) and teaching tasks
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PhD: A deep dive into youth cyberhate Faculty: Faculty of Social and Behavioural Sciences Department: Education & Pedagogy Hours per week: 28 to 40 Application deadline: 5 September 2025 Apply