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of response and develop predictive models. The work will involve analysis of large-scale datasets through multiomics integration, machine learning, statistical genetics, QTL analysis and development of genetic
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Individual differences in inner speech: Measurement and modelling provided the necessary funding is available. This PhD fellowship is available as of 1 February 2027 for a period of up to three years (5+3). It
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. Adapt to GNNs the interpretability tools created for large language models, such as sparse autoencoders, to locate the variables that the network represents internally in nodes and edges. Design causal
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experimental approaches with computational modeling to investigate how RNA-mediated alterations contribute to early neurodegeneration in Alzheimer's Disease. The student will use iPSC-derived models and single
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macrophages toward a pro-inflammatory, anti-leukemic state. The work will combine human monocyte-derived macrophage models, leukemia-conditioned macrophages, primary AML patient samples, chemical biology
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communicating and collaborating across disciplines, including marine geology, glaciology, oceanography and climate modelling. Excellent English communication skills are required. Meet your new colleagues You will
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of the modelling teams, and the cross-model synthesis comparing new pathways with the existing literature. Main tasks and responsibilities In the following items, we deliberately use the words “contribute” to and
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expected to carry out advanced computational analyses. Our underlying model system is the in vitro differentiation of adipose tissue stem cells into adipocytes. The project is in collaboration with
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statistical software; experience with remote sensing, image analysis, crop modelling or other quantitative approaches relevant to crop research; and experience of scientific writing and communication. We place
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expected to carry out advanced computational analyses. Our underlying model system is the in vitro differentiation of adipose tissue stem cells into adipocytes. The project is in collaboration with