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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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for the applications of the production, which are taken in our industry projects directly on site into the operation. What you will do Creation and preparation of image and tabular data in collaboration with experts
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to maximize 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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for Communications Engineering and the Chair of Theoretical Information Engineering are offering a doctoral position under the topic “Secret and Quantum Communication Beyond the Shannon Approach” (TV-L E13) (f/m/x
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sustainably, safely, and comfortably? In addition to the technology for automation, consisting of Perception, Planning, and Control, we are asking this question in our new project AUTOtech.agil. Key
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devices even before the first prototype is fabricated. In this field, we are involved in a consortial project with stakeholders from academia and industry to establish those tools for practical applications
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simulators (on various abstraction levels using, e.g., Computational Fluid Dynamics) which enables us to verify designs of microfluidic devices even before the first prototype is fabricated. Fabrication: We
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team Other welcomed qualifications knowledge of signal processing algorithms for images, videos or audio is welcomed good graphic design skills with tools such powerpoint and photoshop is welcomed