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group received grants for nationally-funded projects in Intelligent Electricity Systems. Therefore, this group currently has multiple vacancies in this field. We are currently looking for researchers with
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transporters based on their structural characteristics. Main activities: -Conduct multiple sequence alignment of plant transporters using phylogeny-aware profiles -Computationally predict and then analyze high
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–plant interactions. Your main responsibilities will include: Developing and applying high-resolution time-lapse GPR and EMI imaging methods at multiple scales to enhance our understanding of the soil–root
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or within 7 years before January 1 of that year (for multiple Ph.D. holders, the reference date is that of the first Ph.D.). This period may be extended by documented long-term (over 90 days) medical
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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—remains a critical challenge. This project will focus on designing AI-driven cognitive navigation solutions that can adaptively fuse multiple sensor sources under uncertainty, enabling safe and efficient
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conducted through surveys targeting a diverse group of stakeholders involved in rural entrepreneurship policies across multiple levels in order to identify success factors, best practices, and the ways
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to timetables and service locations while considering requirements of various personnel and special requests during operations based on specific train unit conditions. This requires multiple-criteria decision
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GPR and EMI imaging methods at multiple scales to enhance our understanding of the soil–root system Designing and implementing novel inversion algorithms for GPR and EMI data Identifying links between
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flood extents under different storm surge scenarios, as determined through high-fidelity CFD-DEM simulations? - What is the optimal spatial arrangement (single/multiple lines, angle of incidence) of PBs