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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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bring to the table You are studying a Bachelor's/Master's degree program Interest in semiconductor lasers and autonomous driving Enjoy simulation and programming Initial experience with numerics
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possibility of a doctorate. What you bring to the table Master's degree in computer science, mathematics, physics, electrical engineering, or similar fields Excellent programming skills and meticulous work
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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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to inform subsequent design recommendations, potentially leading to iterative software enhancements. The topic is suitable for bachelor or master thesis. What you bring to the table enrolled student in