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the official DAAD template [doc-Datei] and ask your professors to email the confidential document to the GSPoL (admissions.gspol at uni-muenster.de ). Step 2: personal interview at the GSPoL Step 3
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semiconductor properties to the composition of lead-free double perovskites Your Profile: Master’s degree in theoretical or computational physics, chemistry, materials science, or a similar field Familiarity with
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with shallow water equations). Python coding for workflow control, data pre- and post-processing as well as model calibration and validation. High-performance computing (HPC) for running test cases and
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or replace established methods from computational engineering and computer simulation (such as the finite element method) to represent and exploit relationships along the composition-process-structure-property
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17Zipcode37077CityGöttingen Contact details Tel:+49 551 5176-100 E-Mail: golestanian-office at ds.mpg.de Web: https://www.ds.mpg.de/lmp Legal notice: The information on this website is provided to the DAAD by third parties
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Golestanian Address StreetAm Faßberg 17Zipcode37077CityGöttingen Contact details Tel:+49 551 5176-100 E-Mail: golestanian-office at ds.mpg.de Web: https://www.ds.mpg.de/lmp Legal notice: The information
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! The template can be found at: https://www.daad.de/medien/deutschland/stipendien/formulare/recommendation.doc [doc-Datei] Application deadline : The deadline for your application is 15 October 2025 at 00
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download and fill in the PDF application ( https://dresdencondensates.org/bps-survey-application-for-a-phd-position-in-the-research-training-group-rtg-3120/ ) to send it with the necessary documents via
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transcripts, at least one recommendation letter and contact information of at least two references. To apply, please send all the required documents in a single .pdf document by e-mail (Subject: PhD application
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. Applications from severely disabled persons with equivalent qualifications will be given preference. To apply for this position, please send your documents (CV, list of publications, summary of relevant previous