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properties predicted by Virtual-Coater™ can be translated into meaningful input parameters for battery modelling platforms. The ultimate objective is to establish a predictive modelling workflow capable
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, biomedical data science, digital health, epidemiology, and environmental health. The position focuses on the development, validation, and interpretation of AI models for health risk prediction using
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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modelling approaches bridging EMT and system-level studies. The researcher will contribute scientifically through independent research, supervision of PhD students, publications in leading IEEE journals
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who show genotypes and biomarker phenotypes relevant to Alzheimer’s disease. Key responsibilities: Coordinate the derivation, quality control and biobanking of participant-derived iPSC lines, in
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patterns, uncover underlying mechanisms, and build predictive models linking genetic variation to molecular and cellular phenotypes. The project offers considerable freedom to explore new ideas and shape
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: 18 maanden → Wage scale: PD1 to PD4 (doctoral degree) → Required diploma: PhD ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15,000 people, it is actively involved
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and predict how the immune system responds to interventions. This tight integration of advanced machine learning and experimental immunology allows us to tackle fundamental biological questions with
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are uncertain, and decisions about where to survey unfold sequentially under significant time and cost constraints. Existing predictive models provide useful but incomplete support because they cannot fully
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. Existing predictive models provide useful but incomplete support because they cannot fully capture the complexity and heterogeneity of archaeological data. This underscores the need for approaches