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As one of 76 institutes of the Fraunhofer-Gesellschaft, the leading organization for applied research in Europe, we show how to not only master crises, but grow from them. Pushing boundaries. Always
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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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to the table Enrolled Bachelor/Master student (m/f) with good grades in one of the following programs: Electric engineering, physics, cognitive science, applied mathematics, neuroscience or a related field. You
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. Therefore, within the scope of this master's thesis, different deep-learning approaches will be implemented and evaluated. What you will do Selection of suitable deep-learning approaches in the field
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Modern and excellently equipped workspace in central location Great and cooperative working atmosphere in an international team Opportunities to write a master's or bachelor´s thesis Flexible working
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team Opportunities to write a master's or bachelor´s thesis Flexible working hours The position is initially limited to 1 year. An extension is explicitly desired. The monthly working time is 80 hours
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for the implementation of standardized measurements (e.g. according to ITU-T L.1333 and L.1480) and life cycle assessments What you bring to the table Completed Master's degree in Electrical Engineering, Communications
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location Great and cooperative working atmosphere in an international team Opportunities to write a master's or bachelor's thesis Flexible working hours , up to 20 hours a week Opportunities to work from
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Enrolled in Bachelor or Master program in the field of Computer Science, Information Technology, Industrial Engineering, etc. Interest in image processing, programming, and machine learning Programming
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The position is initially limited to 6 months. An extension is explicitly desired. Great and cooperative working atmosphere in an international team Opportunities to write a master's or bachelor‘s thesis