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breast cancer while it is early-stage and treatable. This one-size-fits-all screening saves lives, but also has drawbacks in terms of false positives, false negatives, and over-diagnosis. Simulation
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flow modelling and simulations Responsibilities and qualifications The nature of these projects suggests that you should have a strong interest in interdisciplinary research, including coupled physical
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researchers and students. Many promising methods based on generative AI have been suggested to generate synthetic data that can be safely shared in support of exploratory analysis, model prototyping, and IT
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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experience in the following fields. Cyber-physical modelling and simulation Digital Twins Autonomous Agents and Multi-Agent Systems Machine Learning and MLOps Probability & Statistics incl. Python/R Place of
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that dynamically alter the detrapping and recombination probabilities. The aim of this project is to overcome these limitations by developing a Monte Carlo simulation model that treats each charge carrier and its
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technologies in the blue bioeconomy domain, specifically microalgae production Focus explicitly on quantitative approaches for consequential modelling and uncertainty analysis Produce high-level scientific
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. Moeslund, Aalborg University, and Law Professor Thomas Gammeltoft-Hansen, University of Copenhagen. XAI-CRED aims to develop an explainable AI (XAI) model to expose details of AI models – with a special