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of neural hydrology, where hydrological models are directly learned from data via machine learning (e.g., LSTM neural networks, [1]). Initially, these models ignored all physical background knowledge and did
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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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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complete application, quoting the reference number124/2025, to the Helmholtz Centre for Infection Research GmbH, Human Resources Department, Inhoffenstr. 7, 38124 Braunschweig, or by e-mail . If you send
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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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Sozialwissenschaften Dr. Ayhan Adams Address StreetSeminarstr. 20Zipcode49074CityOsnabrück Contact details Tel:0541/969 4728 E-Mail: ayhan.adams at uni-osnabrueck.de Web: https://www.uni-osnabrueck.de/fb1
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. 20Zipcode49074CityOsnabrück Contact details Tel:0541/969 4728 E-Mail: ayhan.adams at uni-osnabrueck.de Web: https://www.uni-osnabrueck.de/fb1/sozialwissenschaften/ Legal notice: The information on this website is provided
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applicable), and transcripts (translated in English or German, if applicable) preferably via e-mail and as a single PDF file to: ausschreibung24-25 at mpinat.mpg.de Max Planck Institute for Multidisciplinary
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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