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Description Objectives: 1) Improve the biomanufacturing efficiency through a combination of advanced computational and experimental techniques (in model organisms such as P. pastoris and C. necator), along with
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, the PhD fellows will explore various aspects of mechanical and chemical engineering, from snow science, fluid mechanics and biophysics to bioengineering and multiphysics modeling. The list of PhD projects
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design recovery and stability strategies using large-scale simulation workflows. Build and expand realistic, continent-scale power system models (e.g., the European transmission grid). Implement and test
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to study grid stability, fault propagation, and recovery dynamics. Analyzing control and protection strategies using high-resolution time-domain models. Developing dynamic models for grid-forming and grid
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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data in order to identify the different cooling stages and analyse the influence that different parameters may have on heat treatment D. Detailed numerical modelling of the heat treatment process to be
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Triggered Aortic Aneurysm Modelling Using 3D Vascular Tissues PhD Candidate – Genetically Triggered Aortic Aneurysm Modelling Using 3D Vascular Tissues. Our goal: Advance personalised aortic therapeutics
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for this position will be: Solid modeling and design of high-performance integrated photonic devices Process development of low-loss photonic integrated circuits on different material platforms Heterogeneous
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of multimedia datasets (voice, text, etc.). Development of predictive models for cognitive impairment and Parkinson's disease using signal processing and machine learning techniques. Development and debugging
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electrical or mechanical engineering Strong mathematical skills Experience in modelling energy systems Very good knowledge and experience in programming (e.g. Python, Matlab, C, C++) Fluent in written and