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), Department for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) the Chair of Adaptive Dynamic Systems offers a position as PhD Student / Research Associate in FPGA Design for AI
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 9 days ago
Biological sciences » Botany Biological sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 17 Sep 2025 - 23:59 (Europe/Berlin) Type
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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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coordinates the interdisciplinary further qualification and offers a forum for the interests and concerns of early career researchers. It is committed to a positive and supportive doctoral culture 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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. 2D-MATURE invites applications for 2 positions for PhD candidates (m/f/d) (3.5 years, 100 % TV-L 13) in the research areas of growth, analysis and electronic / optoelectronic device implementation
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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
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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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profiling, circuit tracing, and behavioural analysis to dissect the functional architecture of neural circuits controlling movement. Requirements We are seeking a highly motivated individual who: holds a
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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