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of the mathematical models of the patho-physiology and PK/PD of the pharmaceutical compounds of interest AI-based black-box optimisation AI-based synthesis of virtual twins of adrenal patients to simulate treatment
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description of steroid enzyme mediated synthesis in the cortex of a healthy adrenal gland and implementing them into numerical simulation codes for handling complicated spatial profiles. Validating the models
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University of Manchester (UK): Mathematical modeling of hormone rhythms Qualifications and personal qualities: We are seeking highly motivated candidates with: Medical Degree (MD) Interest in research
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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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15th February 2026 Languages English English English PhD Research Fellow in Multimodal Large Language Models for Patient-Generated Data in Shared Decision Making (DC7) (ENDOTRAIN) PhD position
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Medicine Secondments: University of Ulm (D): To work with algorithms for wearable data University of Manchester (UK): To learn mathematical modelling of hormone rhythms. University of Bristol (UK): To learn
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challenges like AI, fake news, echo chambers, and political polarisation. The results will be new digital tools, analysis methods, and content types for the future of media. The centre performs research
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Norwegian language technology. The goal is to develop responsible technological solutions to societal challenges like AI, fake news, echo chambers, and political polarisation. The results will be new digital