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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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coating, iii) investigation of system design from small-scale to potentially pilot scale, and iv) application to micropollutant removal. Modelling aspects are open to exploration at molecular and process
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compounds, etc. The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside
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this process: How are mRNAs discriminated against all other nuclear RNAs? How does the cell ensure that only fully matured mRNAs are exported? How are faulty mRNAs and transcription byproducts targeted
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical process
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from space missions to understand the processes and timescales of formation of the Solar System and planets. Development of new geochemical tracers and mass spectrometry techniques with applications
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-mail as one PDF file - with the usual documents (cover letter explaining the motivation, CV, copies of certificates, names and contacts of at least two references) should be sent to (ideally 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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(if applicable) by August 28, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https