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an interdisciplinary research project called “c/o Glass - making flat glass circular in the built environment sector”. Flat glass is a well-used material in the construction industry but has traditionally been disposed
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environment sector”. Flat glass is a well-used material in the construction industry but has traditionally been disposed as landfill. New initiatives to create a circular flow of flat glass has the potential
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applications towards materials science. Generative machine learning models have emerged as a prominent approach to AI, with impressive performance in many application domains, including materials discovery
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application! Your work assignments We are looking for one PhD student working on generative AI/machine learning, with applications towards materials science. Generative machine learning models have emerged as a
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address outstanding questions on behavioural evolution in canids. Your work assignments Understanding how behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model
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behaviours evolve is a long-standing goal in evolutionary biology. Using the domestic dog as a model species, the PhD student selected for this project will investigate unanswered questions on how complex
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cancer. The goal will be to find genetic prediction models to be able to predict which childhood cancer patients have a high or low risk of toxicity in childhood cancer. Preliminary the doctoral project
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array antenna systems for imaging MIMO radar in autonomous driving applications. This work will advance the design and characterization of intelligent devices and environments for wireless communications
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of Sustainable Systems or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses of relevance for the subject. Your degree must be completed no later than the date when
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subject area, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses in the relevant areas for the project. Alternatively, you have gained essentially