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Field
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funding. Candidate Requirements The successful candidate will require a proven track record in research fieldwork and historical methodology. In its assessment, the selection committee will prioritise
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to co-design algorithms and circuits to develop efficient neuromorphic hardware, tailored to target tasks. In detail, you will: develop circuit-plausible training/inference algorithms and analyze in
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the modification profiles of host tRNAs and rRNAs. To test this hypothesis, rRNA and tRNA will be purified from infected cells and analyzed by dRNA-seq to track changes in expression and modification profiles
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advanced methodologies like neuroimaging, eye-tracking, virtual reality, and neural tracking, the project will investigate how foreign-accented speech affects neural responses, attention allocation, and
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patterns, your models will empower cardiologists to track disease progression, identify patient phenotypes, and predict clinical outcomes. The resulting insights will be made accessible through
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numerical simulations using a GRMHD-PIC technique, which allows to track VHE ions on the fly. These simulations will be supplemented by cutting-edge analytical methods for injecting particles onto the grid
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research with numerical modelling. The group also has a strong track record in data-driven modelling of unsteady flows. This project explores how paired floating vertical-axis wind turbines can enable wind
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Repositories and Issue Tracking Systems. Fluency in English is required. About the Department and the University Based in Odense, the Department of Mathematics and Computer Science offers an inclusive and
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the impact of language of instruction, student backgrounds, and curriculum features on academic success. Another PhD-project aims to establish how academic literacy evolves in Dutch and English tracks, and how
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University of Innsbruck, Department of Mathematics Position ID: 3366 -PHDPOSITION [#26832, MIP-15291] Position Title: Position Type: Non tenure-track faculty Position Location: Innsbruck, Tirol