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Degree Dr rer nat (Doctor of natural sciences) Course location Münster Teaching language English Languages Courses are held in English. Mode of study Less than 50% online Programme duration 6
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knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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along with their simulation results (e.g. FEM, CFD) start to “pile up”, rarely being ever used after they have served their purpose. These models can be also seen in the context of product life cycle, i.e
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image data and a combination of traditional material/imaging models and modern ML-based approaches; 3) Spectral library of painting materials over VNIR-SWIR-MWIR ranges Key exploitable results (KER): Open
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, invariants, staged rollouts, and rollback mechanisms so that automation remains within sanctioned boundaries. Underpinning both is the need for dependability models that, combined with telemetry-driven
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emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications
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Declaration of interest regarding PhD project within the field of biomarker and therapeutic targe...
person with a relevant degree (MD, MSc. etc.) Research environment The PhD project will be based at the Department of Inflammation, Institute of Molecular Medicine (IMM), University of Southern Denmark
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shipbuilding industry and develop frameworks and knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven
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emphasizes principled modeling, reproducible experimentation with open datasets and simulations, and publication-ready contributions targeting leading venues in machine learning and wireless communications
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literature study and CFD modelling with the use of real case-study hydropower projects. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD Candidate with