26 modelling-and-simulation-of-combustion-postdoc PhD positions at University of Bergen
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-modal data (hormones, wearables, questionnaires). Collaborate with mathematical modellers to interpret findings. Disseminate results through publications and international conferences. Research Fields
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for advanced analysis and modeling. Key Project Aims – Your Roadmap to Innovation: Data Platform Creation: Design and maintain a state-of-the-art platform to seamlessly integrate complex hormonal data, high
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Physiology, Internal Medicine Secondments : - University of Bergen (N): To screen and characterise patients with PAI. - University of Manchester (UK): To learn mathematical modelling of hormone rhythms
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profiling technology Integrate and analyse multi-modal data (hormones, wearables, questionnaires). Collaborate with mathematical modellers to interpret findings. Disseminate results through publications and
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, and scalable infrastructure required for advanced analysis and modeling. Key Project Aims – Your Roadmap to Innovation: Data Platform Creation: Design and maintain a state-of-the-art platform
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mathematical modelling of hormone rhythms. Qualifications and personal qualities: A medical degree (MD) is considered an asset A strong interest in translational endocrinology and omics technologies Excellent
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-boundary value problem is reformulated in such a way that loads, boundary conditions and constitutive models are completely or partially replaced by some form of experimental data. The research activities
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project/work tasks: Development and testing of bioprinted hydrogel scaffolds for bone regeneration Evaluation of cytocompatibility and biosafety in vivo and in different in vitro models Validation
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: University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. For further details, please visit our webpages Optimized
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the Section for Ethics and Health Economics (ETØK). The position is part of the project “Strengthening health and disease modelling for public health decision making”, funded by the Wellcome Trust. The project