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understanding of the pathways and rates of transport of solutes and particles at the catchment scale. Integrated into a runoff simulation software, this mathematical model will then be coupled with geochemical
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Integrating Multi-Modal Radiomics and AI Co-Pilot Software to Accelerate Cancer Detection and Improve Treatment Decision-Making DoS: Dr Vassilis Cutsuridis (vassilis.cutsuridis@plymouth.ac.uk) 2nd
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to the Wallenberg AI, Autonomous Systems and Software Program (WASP). This enables interaction with researchers from different research fields and access to various scientific and technical expertise. Data-driven
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theory and framework to study and explain how different reservoir systems work and how to design them for specific tasks. The project will combine: Mathematical modelling of dynamical systems
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will build on research that detects different types of uncertainty in deep neural networks, and we will connect this uncertainty to interactive data collection, e.g. in the form of a dialogue with the
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Your Job: As a doctoral researcher in the group of Dr. Susanne Kunkel at the institute Neuromorphic Software Ecosystems (PGI-15), you will contribute to the advancement of simulation technology for
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organised between the APC team and the University of Chicago team, as well as face-to-face meetings in Paris and CERN, and annual visits to Chicago A strong interest in computer science (software development
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Power Systems research group, and supported by the University’s Research Software Engineering team, you will advance the development and enhancement of modelling and dynamic simulation frameworks
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systems. At NTNU, the research will investigate hardware-aware and hardware–software co-design methods for edge intelligence. The goal is to develop new techniques that improve the efficiency, performance
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scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI