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and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three
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power electronics devices. Design methods: Develop novel design methods for power electronic converters involving advanced optimization methods Simulation: Learn advanced simulation tools such as Ansys
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process. An integral part of the project will be the development of enhanced data-driven physics methods to achieve reliable prediction of material removal rate and material removal distribution
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more than 1300 Danish 6-11-year-old children. This included food and nutrition intervention components in the form of a school lunch programme, activities in the local supermarkets and SFO and practical tools
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in functional genomics methods (e.g., single-cell and bulk RNA-seq, ATAC-seq and ChIP-seq) and computational data analysis is considered highly advantageous. Selected references: Jakobsen et al., 2024
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. Develop and apply state-of-the-art electron microscopy methods to study molecules-adsorbents interfaces. Collaborate closely with TUM to correlate nanoscale insights with material performance. Contribute
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algorithm. Design methods: Develop novel control methods for power electronic converters feeding electric machine Simulation: Learn advanced simulation tools such as Ansys to simulate and analyze the effect
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Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark, Vejle, invites applicantions for PhD positions with a focus on Software Architectures and
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on development of novel methods involving organic chemistry, transition-metal catalysis, photocatalysis, enantioselective catalysis, and C-H functionalization as well as reaction mechanism elucidation
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Public Health, Sociology, Medicine or similar disciplines. We prefer a candidate with the following qualifications: Strong background in epidemiological methods, health policy, or healthcare systems