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Field
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imaging, mathematical modelling, and functional genomics, receiving experimentally testable predictions generated by state-of-the-art predictive models. These predictions will be rigorously validated using
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on the development of our real AI-based automated shuttle (see image) with Autoware -stack for deployment on public roads, while researching and developing dependable automated driving systems based on software and
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-economic growth paradigm and including its ever-increasing demand for electricity. In addition, comprehensive future large-scale landscape changes can be anticipated due to a broad range of needs and
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the growing demand for sustainable AI-enabled systems, this PhD brings together low-power computing, energy-aware design, and thermal optimisation. You’ll work with advanced profiling tools, prototype long-life
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science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
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these biases could be transmitted from one person to another. You will also support brain imaging experiments (i.e., fMRI studies) in collaboration with a postdoc on the project, understanding how these biases
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tools for drainage and vegetation-related failures, national-scale risk clusters, and prototype decision-support dashboards for route engineers and asset managers. The research has strong potential
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. Advanced training modules: Choose from practical courses and lecture series on topics like image analysis, microscopy, biostatistics, developmental biology, and more. Community & collaboration: Take part in
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-resolution cell imaging and microscopy Data analysis and integrative computational approaches This combination of expertise will prepare you for an independent academic career or leadership roles in
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The molecular biosciences are undergoing a major paradigm shift – away from analysing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal