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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
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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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, 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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. 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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deadline for your application at BIGSAS. Applicants can apply to the graduate school during the course of the whole year. For more information about our application requirements and process, please visit our
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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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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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, publication, and presentation of results at national and international conferences and in peer-reviewed journals Your profile For being part of the selection process is needed: University degree (Master/ Dipl
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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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your notification of admission as soon as you have received it (your application won’t be finally processed before the “Studierendenwerk” has received proof of your admission). For further information