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Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 12 hours ago
Programme duration 6 semesters Beginning Other Application periods DLGS accepts competitive applications for: Current call (deadline: 1 September 2026) https://dlgs-dresden.de/application/funding/scholarships
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are processed through the online application portal: https://uni-goettingen.de/en/532016.html Language requirements Good proficiency in English and/or German is required. Applicants must provide proof
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of authorised examiners: https://www.uni-goettingen.de/en/577092.html German language skills No minimum language level required English language skills C1 required, please provide an official language certificate
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Degree Dr Course location München In cooperation with Find out about the participating research groups here: https://www.bio.lmu.de/lsm/en/faculty-and-research/ . Teaching language English Languages
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. For more information on the city, please see: https://www.hamburg-travel.com/ . Activate map To activate the map, click on the "Show map" button. We would like to point out that data will be transmitted
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atmosphere, the GGL conducts all communications and events in English. The GGL is a network of ten interdisciplinary research sections. These sections offer a structured scientific curriculum organised in
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molecular matter C: Control and functionality in complex heterogeneous systems Open positions are continuously published on the following website: https://www.cui-advanced.uni-hamburg.de/en/career/job
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here . Costs of living We recommend that students budget at least 1,000 EUR per month to meet personal expenses (accommodation, living, health insurance). You can find more information here: https
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website for the entire admission regulations and details about the application procedure: https://www.uni-goettingen.de/en/430861.html German language skills No minimum language level required
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important roles: data management and engineering, machine learning and data analytics, signal and image processing, algorithm design, optimisation and simulation, software engineering and automation and