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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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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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. The major part of these emissions comes from the reduction of iron ore in the blast furnace process. One line of reducing these emissions is to increase the scrap metal fraction in steel production, i.e
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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
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professor Associate professor Education EngD Finance HRM IT Lecturer Legal staff Management Marketing and communications PhD Policy and staff PostDoc Professor Research, development, innovation Researcher
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grant program - NeuroSync, supported by dedicated technicians and embedded in a dynamic team of PhD students and postdocs working with complementary technologies. NeuroSync investigates how species