2,419 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions
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procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop probabilistic digital twins of coronary arteries. The goal is to create patient-specific
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Dynamics” (FairCFD), a training programme focused on the development of novel modelling tools where the PhD candidate will have the opportunity to study and contribute to these technical developments from
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developed mouse models and human tissue processing pipelines. The candidate will learn and use cutting edge immunological methods (high parameter flow cytometry, multiplex imaging, single cell and spatial
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to the development of techno-economic models, and supervise the PhD candidate in all research activities related to energy economics. The researcher will work closely with the principal investigator and the project
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: Design, lead, and publish hypothesis-driven clinical research on the new drug development; Develop and submit grant proposals to secure extramural funding for clinical and translational research; Serve as
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Department for Energy Science is seeking candidates who wish to pursue a PhD in Energy Engineering. Your research will focus on developing and applying optimisation models to analyse the future role of
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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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will be instrumental in developing the advanced computational models of the atrial tissue required in the thesis' simulation study. Atrial fibrillation (AF) is the most common sustained cardiac
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to join in the Centre for Chinese Herbal Medicine Drug Development (CDD), which is located in the Hong Kong Science Park. Responsibilities: Design, lead, and publish hypothesis-driven clinical research
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understanding of chloride transport mechanisms and establish the suitability of thermodynamic modelling as a tool for durability assessment. Ultimately, the study will contribute to the development of more