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, control theory, computer science, cognitive science, neuroscience, mathematics, and materials science. The program’s research and training have a high potential for practical applications in areas such as
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topics at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies, and sustainability. In addition, next-generation computing and quantum computing are future-oriented topics
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2026), with the aim of an ongoing employment and longer-term collaboration. The team provides scientific support and evaluates the Hector Children’s Academies, an extracurricular enrichment program for
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. As a model intercomparison project, TIPMIP brings together international modeling groups to jointly develop and run computer simulations. In this way, TIPMIP creates a unique data basis for
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Kunsthistorisches Institut in Florenz - Max Planck Institute, Berlin, Germany | Germany, | Germany | 29 days ago
The Berlin-based research, fellowship, and mentoring program 4A_Lab invites excellent early-career and mid-career scholars to apply for up to three predoctoral and three postdoctoral residential fellowships (6
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The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
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available in the further tabs (e.g. “Application requirements”). Programme Description Applicants are highly qualified scientists and scholars from abroad just embarking on their academic careers who
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at Fraunhofer ITWM are machine learning, artificial intelligence, renewable energies and sustainability. In addition, next-generation computing and quantum computing are future-oriented issues that our
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Course location Stuttgart Description/content The Graduate School of SimTech offers an interdisciplinary structure and international training programme in order to prepare the candidates with
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! background in computer science, open-source projects, digital engineering, data science or related fields good software design skills and experience in building and maintaining data processing pipelines and