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posted here will be among the first ones to start in the centre. Please see the centre’s website: Future Aluminium Structures (FAST) - NTNU PhD Position 1: Modelling Plastic Flow and Fracture in Recycled
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posted here will be among the first ones to start in the centre. Please see the centre’s website: Future Aluminium Structures (FAST) - NTNU PhD Position 1: Modelling Plastic Flow and Fracture in Recycled
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simulation models to assess the impact of precision diagnostics and health interventions on health outcomes and economic performance, specifically addressing challenges such as overdiagnosis in cancer care. We
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, manufacturing technologies, and circular economy. The primary objective of FAST is to establish the scientific and technological knowledge base required to enable the large-scale use of post-consumer scrap (PCS
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for those in the form of technical drawings stored in different file formats (e.g. TIFF, PDFs). In addition, more complex models such as 3D representations of products along with their simulation results (e.g
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modelling? As a PhD Candidate with us, you will work to achieve your doctorate, and at the same time gain valuable experience that qualifies you for a further career in higher education and research, both in
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language processing or data science. Computational materials science, electronic structure calculations (e.g. DFT), or thermodynamic modelling (e.g. statistical mechanics or MD). Scientific data analysis
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
models. Profiles of varying complexity will be studied. The candidate will establish and validate numerical simulations, collaborate with industrial partners, and demonstrate results through relevant
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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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emerging standardization efforts. The emphasis is on mathematical modeling and quantitative indices, system-theoretic reasoning, and formal framework development rather than application-specific