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provide detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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detailed information on local deformation mechanisms at the microscale, while numerical simulations and data-driven approaches will enable the development of predictive models capable of linking
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applications for the position of Research Assistant in Invasive Pest Genomics. The intern will contribute to the efforts of an NSF-funded project (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2418203
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. The analysis will explore how regionalisation affectsinvestmentstrategies, comparative advantages, pricing dynamics and logistical configurations across major agri food markets. Firms increasingly adopt “local
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: an interdisciplinary approach to understanding the interaction between bacterial pathogens of environmental and zoonotic origin and the host’s innate immune system. ” In this thesis, we will develop structured partial
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actors respond to the challenges posed by divisive far-right politics, and how these local contestations shape emerging forms of exclusion and belonging. The PhD candidate will be encouraged to develop
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of the optical localization system for mobile robots in dynamic and unstructured environments. Main activities • Development of an optical localization method for mobile robots operating in indoor and/or outdoor
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member of "Carb2Mol" and considered for integration into the Graduate School “Engineering Covalent Bonds in Molecules and Materials” Ec=m2 (RTG 3082; https://www.uni-saarland.de/forschen/ecm2.html
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14th April 2026 Languages English English English 3-year PhD position on ‘Integrating local cultural values and practices into forest governance’ PhD within International Environment and Development
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for differentiation and the importance of locality. The thesis therefore fills a research gap in the field of strategic innovations of small breweries in a broader European context. The aim of the work is to identify