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Field
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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software development? Or maybe you enjoy modeling? We are still the right place to be with our work on creating digital twins of components and test rigs, and due to our software that supports the logistical
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the next 6 months are welcomed. • Very good knowledge in statistics and, preferably, bioinformatics; esp. in hypothesis testing, power analysis, experimental design, regression, statistical software
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practical and laboratory tests as well as sophisticated simulations. We not only publish research results gained at numerous conferences and in journals, but also make our software available in open source
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powerful, but also secure and trustworthy. Be part of change Your current tasks vary depending on the current projects and work packages due. We will discuss these in a personal interview with you and try to
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Optimization and Reinforcement Learning methods for problems of design/layout Exploration of Heuristics and Data-driven Methods for the generation of design blocks Automated Test and Verification of designs
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methods and software tools that aid the design of microfluidic devices (also known as Labs-on-a-Chip). While these devices are mainly designed manually thus far, we investigate methods that eventually will
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software for autonomous and teleoperated driving. You will prepare the results for customers and political decision-makers so that recommendations for action become apparent, communicate these, and develop