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Field
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at the heart of its educational project as a driving force of a business model. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions
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of recently published analyses assessing the impact of aggregation, outcome measure, and other analytic choices on results developing and implementing a computational model to simulate transmission dynamics
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not limited to) identifying effective tutoring practices, running experiments on AI tutors in simulated and real-world environments, fine-tuning AI models to classify qualitative data, and building
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learning, understand their mathematical foundations, and connect them to space-related technologies and missions. The focus is on building rigorous models that explain and predict the behaviour of modern
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candidate must have extensive experience modeling the proteins of cardiac muscle and with such rare event simulation methods as Transition Path Sampling and Metadynamics. The Department of Chemistry and
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the deployment of the co-development pathways. The postdoctoral researcher will work closely with colleagues developing pathways in Work Package 3, modelling and simulation tools in Work Package 2, and case
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possible mechanisms of action, identify peculiar activity signatures and integrate cellular toxicity profiles to reduce false positives and guide compound prioritization. The models will be populated and
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The SDU Adaptive Intelligence Lab (ADIN Lab) (https://adinlab.github.io/ ) located under the Data Science and Statistics Section of the Department of Mathematics and Computer Science (IMADA
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Python/Matlab or similar. Other Valued Skills Experience in FDTD simulations of advantage. Experience in quantum photonic principles for quantum sensing such as ODMR. Quantum Chemistry/Modelling
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random access memories. This project aims to develop models of the magnetisation switching process that can explain experimental results provided by collaborators. As such the position will involve