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. The project involves close collaboration with experimentalists who provide the relevant data. Machine learning methods will be applied to link experimental (imaging) data to a mechanistic model. The results
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. The positions are for a fixed term of three or four years (please check the details in the project link). Further information on the project is available at https://www.fz-juelich.de/de/ibg/daten-ki/casa-sdl-dbe
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within the Institute of Theoretical Computer Science at TU Dresden. The main research area is the design and analysis of algorithms and data structures, with possible focus areas including randomized
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Parasitology, Biophysics to Social and Computational Sciences and Health Economics. Please check our Webpage (link below) for further information about the PhD projects and required backgrounds. Our 9 projects
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, applicable, and feasible, taking into account the starting date of the scholarship). Submission & Information Please submit your complete application via email (mentioning DAAD GSSP in the subject line) to
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on the application portal of the university using this link: http://obp.uni-goettingen.de/de-de/OBF/Index/76057 . For more information get in touch with Chhana Ullah directly via E-Mail: chhana.ullah@uni
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considers the transport of suspended matter (tracers); calibrating and validating the model against long-term data on hydraulic conductivity, water temperature, and dissolved oxygen from several rivers
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. The topics are not limited. Information about the available topics and supervisors can be found under the following link: http://scads.ai/positions2025. The location of work (Dresden or Leipzig) depends
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will closely cooperate with the PhD student at GFZ in order to link the interpretation of geodetic GNSS measurements with the modelling of glacial-isostatic adjustment (GIA). You will focus your work
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a vibrant scientific community. Join us in developing solutions for a rapidly changing world and help shape the future by working in an international environment. For more information about the