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scientific dissertation. You will also have to complete a training component which consists of courses in legal theory, handling of sources, methodological perspectives in legal science, text quality, research
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of Artificial intelligence, Machine learning, Numerical simulation, Formal verification. Such methods include, among the others: AI-guided simulation of the mathematical models of the patho-physiology and PK/PD
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: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial Intelligence, Machine Learning, and Natural
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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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candidates with: A first-class degree in Electrical, Biomedical, or Communications Engineering, Computer or Data Science or a closely related discipline with a strong mathematical and data management
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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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approaches. Qualifications and personal qualities: Required: MSc (or equivalent) in Mathematics, Computer Science, Computational Linguistics, Engineering, or Medical Engineering Strong expertise in Artificial
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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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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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with a strong mathematical and data management component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge