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-group working on microbubble physics and will contribute to the guidance and supervision of PhD students involved in microbubble production, functionalization, physical modeling, and ultrasound imaging
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on methods and models that enable developers and civil servants to align AI tools for use in public organizations. More specifically, your research will focus on the technical development of a flexible and
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infrastructure operators, and cyber-physical security professionals to design and implement effective defense and resilience models and measures for adversarial attacks. More information about the project can be
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human behavior, and the need for personalization. Resource-Efficient AI: You will ensure your models are lightweight enough to run on edge devices, balancing accuracy with energy consumption and
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ranging from neuroanatomy and neurochemistry via neuroimaging to mathematical cognitive modelling. What are you going to do As part of the project, you will carry out microscopy processing of human-brain
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of organic soils, and process modelling. The position is available immediately, with a start date as soon as possible. Your qualities a PhD degree in a relevant discipline, such as environmental sciences
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, responsible, and organized postdoctoral researcher to develop mathematical models of adaptive stress regulation. These models will inform empirical research with humans. Join our team! We invite applications
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, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
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. There is extensive collaboration between these themes. For more information about the Mathematical Institute, see https://www.universiteitleiden.nl/en/science/mathematics . What you bring PhD in mathematics
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neuroanatomy, mathematical/computational modeling, and the cognitive/clinical neurosciences. If you recognize yourself in this profile and are interested in the role, we look forward to receiving your motivation