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. Applications are processed through the online application portal. http://www.uni-goettingen.de/en/application-and-enrolment/532016.html Language requirements Applicants whose native language is not English are
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, preferably in English via an email to ai4eo@tum.de until 1. November 2025 at the latest. Please indicate “PhD application for Causal ML & EO for Urban Flood Resilience” in the subject line. The position is
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. Determine how plant P sensing and signalling influence mycorrhizal colonization and responses. 2. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency
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preceding the programme. Application deadline None Submit application to enwat@f02.uni-stuttgart.de Please clearly indicate which of the announced projects you are applying. Possibility of finding part-time
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will receive preferential treatment. Selection process Application Process Please submit your complete application exclusively via our online application tool (see link ), including the following
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how plant P sensing and signalling influence mycorrhizal colonization and responses. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency under water
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for the programme will be 5,000 EUR per study year. Combined Master's degree / PhD programme No Joint degree / double degree programme Yes Description/content Globalisation processes are strongly linked to issues
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. enrolment processes at the university). Application deadline Application deadline is 1 November every year. Applications must be submitted via our online application portal. It will be accessible from around
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training in oceanography, climate science, Earth Observation, and data science within a highly international research team. The Chair of Data Science in Earth Observation develops innovative signal
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Your profile: • University degree (MSc or PhD) in any of physics, engineering, medicine or biology. • Experience in optics and signal processing that allows a quick adaption to the technological needs