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educational programs in Computer Science, we are now seeking a PhD student with a focus on Neuro-Symbolic Graph Transformation. The Department of Computing Science has been growing rapidly in recent years, with
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-quality educational programs in Computer Science, we are now seeking a PhD student with a focus on Neuro-Symbolic Graph Transformation. The Department of Computing Science has been growing rapidly in recent
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ability to work both independently and collaboratively are essential. A solid background in combinatorics, especially graph theory, together with basic knowledge of probability theory, are required
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ability to work both independently and collaboratively are essential. A solid background in combinatorics, especially graph theory, together with basic knowledge of probability theory, are required
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methods for data assimilation; and graph-based multi-scale neural network models. While the developed methods will be broadly applicable, particular emphasis will be put on the problem of inferring gas
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-temporal machine learning method development, including: generative models for grid-based and particle-based spatio-temporal data; controlled generation methods for data assimilation; and graph-based multi
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technologies, such as ontologies and semantic web standards, as well as graph data and knowledge graphs, and circular economy and DPPs is preferential. Documented experience of writing and publishing research
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. - Apply graph-based and machine-learning tools to model signaling networks driving plasticity. - Validate candidate pathways in cell culture and mouse models. - Present findings at seminars and conferences