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data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with
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, Computer Science or related fields (for PhD); Doctorate in Physics, Computer Science or related fields (for Post-Docs). The positions are funded via the Cluster of Excellence (Machine Learning for Science), the ERC
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The Leibniz Institute for Prevention Research and Epidemiology – BIPS in Bremen, Germany, invites applications for a three-year PhD program in epidemiology, statistics, and prevention and
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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
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in electronic systems—commonly referred to as neuromorphic computing—holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from