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. Your work will include experimental tumor models, where you will analyze tissues using both histological methods and flow cytometry, as well as RNA sequencing. In addition to your experimental work with
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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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Meritorious will be considered experience in: - Microscopy-based imaging - Immunohistochemistry - Work with clonal cell lines - Work with other model organisms such as D. melanogaster or D. rerio You are a
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approximately 30 places. The department strives for an approach that encourages and promotes the use of theories and models drawn not only from traditional social sciences, but also from, for example
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, and agent-based modelling have paved the way for innovative collaborations between social scientists and computer scientists that jointly seek to answer fundamental questions of the social sciences and
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groundbreaking work on enzyme-triggered electrode fabrication in animal models (Strakosas et al., Science, 2023; https://doi.org/10.1126/science.adc9998 ), this project leverages enzymatic polymerization to create
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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