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Description The Graduate School Scholarship Program(GSSP) of the German Academic Exchange Service (DAAD) is offering two (2) doctoral scholarships for aspiring PhD students within the framework
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collaboration with experimental groups, to address questions of biomedical or industrial relevance. The candidate will develop and use machine learning methods (mainly graph neural network architectures
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resume with professional and technical skills, and exploring the scientific and cultural diversity in Europe and North America? The graduate training program in Scalable 2D-Materials Architectures (2D
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly founded by
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/w/d) to commence as soon as possible. Requirements for applicants are an outstanding PhD dissertation as well as research and teaching that go beyond the PhD. The holder of the position is expected
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-fertilisation rates and N loss predicitions integration and testing of the model ensemble into a database driven cloud architecture upscale the modelled N-fluxes across European pedo-climatic zones support
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architectures [5] and Neural ODEs [2], creating a cohesive end-to-end hydrological model. Transformers will be utilized to pre-process and analyse the raw input data, capturing essential spatial and temporal
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the scientific IT of the Tectonics and Sedimentary Systems departments • Supporting team members with technical problems • Creation and maintenance of internal databases, including data backups, BSc/MSc/PhD and
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understanding of how genomic architectures drive soil carbon sequestration and will highlight microbial biodiversity suited to specific soils and climates, paving the way for more sustainable soil management
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architectures, or diffusion models. In close collaboration with clinical partners, you will translate your research into practical, translationally relevant applications, contributing to advances in personalized