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- NTNU Norwegian University of Science and Technology
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innovative computational approaches, leveraging finite element simulations, AI, and clinical data, to better understand the mechanisms of MR. This aims to improve patient risk stratification and treatment
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required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
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of the polymer insulation using finite element or equivalent methods. The two PhD candidates will work in close cooperation, but on separate aspects of this: PhD #1 Material characterisation of aged HVDC cable
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, theoretical basis, and choice of method Progress plan for the doctoral work. Documentation of the applicant's educational background and completed research work A plan for the training component A funding plan
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dopants can influence the microstructure and surface characteristics of the aluminium silicide powder. Advanced characterization techniques will be employed to assess particle size, morphology, and
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work. Your application must also contain a plan for your doctoral project which includes: project description plan for the training component progress plan funding plan proposal for academic supervisor(s
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training component comprises 30 ECTS (10 ECTS are granted for compulsory courses, 20 ECTS are granted for elective courses) and the research component (dissertation) comprises 150 ECTS. The compulsory
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Students and about 17 Postdocs and researchers. The current position will be affiliated to the Concrete group which is a team of scientists dedicated to the study of all aspects of concrete. The Concrete
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for up to 2 years. About the project/work tasks: The researcher will work on functional studies of the transcription factors "hepatocyte nuclear factor -1 alpha and 1 beta" (HNF-1A and -1B). Pathogenic
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the research, focusing on both component-level solutions and algorithm optimization. The chosen solution will typically be implemented on a microprocessor platform, with the possibility of using FPGA