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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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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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generative language models to prepare the project description, a declaration must be included at the end of the document, stating the extent to which you have relied on such models. Copy of diploma for both
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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 by comparing
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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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or improved methods on how to include the impact of degradation in models and process simulations Assessment of the results, including evaluation of simplifications and uncertainties and their impact on
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of these phenomena, and how they affect the performance and operation of cells, using advanced mathematical modelling in the open-source simulation platform OpenFOAM. The main supervisor of the candidate will be Prof
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application process here. About the position The Department of Materials Science and Engineering (IMA) at the Natural Science Faculty, has a vacancy for a position as PhD candidate related to modelling
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two or more of the listed subjects: control engineering, systems engineering, marine technology, statistics, system modelling and simulation, safety/risk science, human factors. Your education must
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capabilities within the underwater domain, and to ensure that a unified modelling approach can operate across robot embodiments – air, ground, and marine. Achieving this requires new simulation tools, scalable