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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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will benefit from Fraunhofer IOSB’s specifically large variety of skills, covering the entire chain of optronics and sensor data evaluation and ranging to the engineering of secure and user-adequate
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The Professorship of Public Policy for the Green Transition (PPGT) focuses on designing and evaluating policies for the green transition worldwide. The group uses a variety of methods from automated data analyses
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Become a part of our team and join us on our journey of research and innovation! Be
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cooperation with the Chair of Aroma and Odor Research at the Friedrich-Alexander University Erlangen (FAU) •Sample preparation (selection and organization of sample material to ensure accurate origin of data
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requirements, see below): Jordan University of Science and Technology, Irbid (JUST) M.Sc. Computer Engineering* M.Sc. Network Engineering and Security* M.Sc. Radiologic Technology** M.Sc. Medical Laboratory
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information on the IRTG, the research projects and principal investigators are available on the CRC 1371 website. In Project 05, we are offering exciting scientific positions in the field of cancer immunology
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in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
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of Energy Management Technologies are focusing on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy
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