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of the North Sea maritime infrastructure through AI-enabled, human-centered, and data-driven cyber-physical threat intelligence. This large interdisciplinary project builds on insights from network
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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, and the mathematical and computational foundations of neural networks. Familiarity with the following areas is meritorious: machine learning, computational complexity, tree automata and tree
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focus on the medical image processing aspect of the Birth4Cast simulator by researching and developing automated image segmentation procedures to extract the pelvic floor muscle complex and the fetal head
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formed to engulf cellular material, is critical for cellular health and healthy ageing. This process is hierarchical and can be understood as a sequential process, where key protein complexes and
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to unravel the complexity of chemical communication that occurs in nature. PhD Project: Decoding symbiont establishment through systems modeling and multi-omics integration Supervisors: Dr. Mariana Galvão
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intellectual disability associated with either a rare genetic syndrome or a co-occurring condition such as autism. People with moderate-profound intellectual disability and complex needs are at high risk for
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expand current technology to include automated live analysis, integrating machine learning algorithms capable of interpreting the complex behavioural patterns of mussels in response to environmental stress
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: Produce recombinant viral RNAP transcription complexes in insect cells Functionally characterise RNAP activity and validate assay systems Screen fragment libraries using fluorine-based NMR spectroscopy
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at the intersection of multiple transitions. Focusing on actors’ collective strategizing, you will investigate how such tools can support dealing with the complexity of multiple transitions. You will adopt a