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Description As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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, computer science, microsystems technology, communications engineering, or a comparable field—ideally supplemented by a PhD. Practical experience: You have in-depth knowledge of project acquisition and
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-life applications, improving lives. Your work provides the foundation for scientific discoveries with real impact, shaping the future of health. The Institute for Intelligent Biotechnologies (iBIO
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
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well as the Institute for Visual and Analytic Computing at the University of Rostock. The successful candidate is expected to have a degree and PhD in engineering, electrical engineering, computer science, or related
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wide range of markets such as automotive, industrial and aerospace. The rapidly growing demand for computing power especially in relation to quantum computing (QC), artificial intelligence (AI), and
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processes, a PhD in marine geochemistry or a related scientific field (e. g. geology) and a strong commitment to participate in the research activities of the Marine Biogeochemistry Research Division
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inputs. Emulating this functionality in electronic systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of
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for this are embedded in international efforts to enable intelligent data services in astrophysics, for example for multi-messenger astrophysics. The resulting technology for archives of heterogeneous data sets, which