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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 on semiconductor
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. The selection procedure Icon Applicants Applicants Icon Foundation Foundation Icon Notification Notification Application Processing 4-6 weeks Review process approx. 4 months Selection Feb./Mar., June/July, Oct
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Germany over the duration of your entire professional career Hosts receive a monthly allowance for research costs of 800€ for projects in the natural and engineering sciences or 500€ for projects in
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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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-power fiber components. The position forms part of the Laser Technology (LAS) department, which develops and evaluates specific photonic materials and components, associated laser sources and nonlinear
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all over Germany join forces to integrate a thermodynamic description into the processes understanding of soil systems and gain insights into how energy and matter fluxes drive organic carbon dynamics
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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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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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medical image data. Vivid Interest in interdisciplinary research, closely working together with pathologists, medical experts, computer scientists and other researchers. Independent and pro-active work
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The Fraunhofer Institute for Laser Technology ILT is a leading centre for contract research and development in the field of laser technology. The "Ultrashort Pulse Lasers" group develops high-power