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research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation
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Post Doctoral Researcher Rinn Artificial Intelligence – Research & Innovation in Data Science and AI
patient risk prediction using machine learning (with experience in particular in radiomics and transcriptomics) • Multi-omics for non-cancer health screening applications, • Machine learning modelling
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-storage quality (firmness, colour, disorders) will be assessed. • Model development: Relationships between porosity, gas exchange, and storage outcomes will be modelled to evaluate predictive capacity
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, process intensification, and hydrogen yield optimization. These interconnected phenomena require predictive modeling tools capable of supporting the scale-up from laboratory to industrial operation [3–5
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cadence) to drive predictable execution and sustainable adoption. Design, implement, and continuously refine the target operating model-including processes, roles, controls, and system-enabled workflows
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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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composed of experienced researchers from the control engineering field with expertise in systems and control theory, modeling and control of biomedical systems, uncertain dynamical systems, robust and
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project will explore how AI “thinks” about weather by simplifying complex AI models and testing them under controlled conditions. By combining the speed of AI with the physical accuracy of traditional
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modeling, or real-time data analysis. Familiarity with data visualization, reproducible research workflows, version control, and collaborative coding practices. Interest in translating computational methods
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correlate the findings with prognostic parameters, refining the prognostic value of the Immunoscore for MuM in order to identify predictive biomarkers and refine TME-based therapies. Project aim: The aim