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and verifiably safe. We consider resilience and intelligence to be part of the same process. What you will do Current advances in generative AI are increasingly opening up new possibilities
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systemic infectious processes, immune responses, and evaluating therapies, refinement measures to reduce stress and improve welfare in experimental animals are underexplored. In this 3RTG, we will address
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and technologies, human anatomy, computer vision and sciences, biomedical engineering, medical imaging and surgery. Through its research and training activities, the INSIDE:INSIGHT project will
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functionality and analyzing integrated safety mechanisms result in high simulation times. To better address these issues, a virtual prototype will be created. This prototype will significantly reduce simulation
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. The new system to be developed will be tested and optimized with an existing CargoKite ship prototype in real operation. Previous Work https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10530091 https
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measurements for degradation performance. A range of Mg- and Zn-alloys will be produced at Uppsala Universitet in cooperation with doctoral candidates there, to reveal process-performance correlations and
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learning, or signal processing; familiarity with microscopy data is an asset but not required Interest in foundational machine learning research with applied impact in scientific imaging Demonstrated
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visual sensory processing. This knowledge is expected to contribute to a better understanding of sensory overload symptoms in everyday life in autism. The project builds on previous work by our group
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doctoral candidates there, to reveal process-performance correlations and suggest the strategies for reducing corresponding degradation rates. The best performing alloys will be tested in vitro
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms