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well as application optimization. This research focuses on the development of a parallel debugging framework tailored for custom RISC-V instruc-tion set extensions. The goal is to enable efficient execution tracing
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of Europe’s most vibrant hub for artificial intelligence research. A list of concrete potential projects: Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new
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: plexins. These receptors are involved in neuronal development, but also in shaping the cardiovascular, musculoskeletal systems and kidney. Further, plexins regulate immune responses and cancer becoming
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for professional and personal life situations An exciting work environment with the opportunity to provide important impetus for the development of sustainable solutions Exciting topics in an international
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around 30 GHz. The successful candidate is expected to take over a leading role within the MADMAX collaboration in the development, characterization and implementation of important parts
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“NANeurO,” which focuses on the development of injectable nanoelectrodes for wireless and minimally invasive neural stimulation. About us The NEN Lab works with new materials for wireless communication with
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pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as
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of nutrition and health, with the aim of understanding the molecular basis of nutrition-dependent diseases, and of developing new strategies for treatment and prevention. We invite applications
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is to investigate which antigen specificities are enriched in cell subpopulations, depending on the underlying neurological disease. The project will use high-throughput data to develop and apply
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 8 days ago
-depth analysis using existing or newly to-be-developed tools. Further there will be opportunities to carry out research within the PHANGS collaboration exploiting all available datasets from ALMA, HST