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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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molecular biology with a focus in genetics or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained corresponding knowledge in
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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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: Verifiable training and trustworthy AI pipelines. Tools for robust data and model provenance in adversarial environments. Methods for protecting training data and end users, including secure data removal and
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. Tools for robust data and model provenance in adversarial environments. Methods for protecting training data and end users, including secure data removal and machine unlearning. Machine unlearning
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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