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equations (PDEs). The position is funded by the Dutch Research Council (NWO) via the Vidi research project Optimal adaptive space-time boundary and finite element methods. The project focuses on the design
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capability to visualize local material properties inside complex microstructures. You will be part of the Optics for Nanoscale Metrology team, in the Optics cluster of the department of Imaging Physics at TU
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constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R. You will then simulate cartilage microtissues growing inside engineered, confining microenvironments and
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strategies and image analysis to bring the cerebellar mesoscale organization into view. With multimodal submillimetre MRI data including structural, microstructural, vascular, and functional MRI, we will
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will focus on understanding structure–property relationships in hard carbon, with particular emphasis on microstructure, surface chemistry, and solid electrolyte interphase formation. In parallel
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programming skills (C++ or Python) and experience with numerical modeling (for instance, Finite Element Analysis or Computational Fluid Dynamics); A strong interest in—and willingness to learn and perform
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degradation of selected contaminates The PhD will work closely with a Postdoc who focuses on physicochemical treatment and resource recovery strategies. Together, you form the core research team within
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(neural mass models) as well as at the neuron level (neural network models) including plasticity. Electric fields will be estimated based on finite-element method models. The project can be partly adapted
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most promising technologies carry uncertainties, from environmental and economic tradeoffs to questions about how they integrate with existing infrastructures, markets, and other elements of the broader
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the supervisors, fellow PhD students, postdocs and international colleagues associated with the CreAI Lab (creailab.net). The research tasks will include collecting problem solving data with both humans and AI