Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Generate synthetic microstructures (based on the open-source OptiMic software) Perform descriptor extraction and micromechanical simulations (MCRpy, DAMASK) Vary the material processing parameters, which
-
of inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
-
15, 2025. For more information on the PhD program and the application process, please visit our website at www.geschkult.fu-berlin.de/hcs . If you have any questions about the call for applications
-
University of San Juan’s deadline. The application process for DAAD scholarships contains the following steps: Register on the DAAD portal Log in to the portal Carefully read the instructions on how to apply
-
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
-
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
-
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
-
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
-
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
-
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