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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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the field of fiber design and structure research and write reports and publications in English, or if possible, German language. What you bring to the table Degree (diploma/master) in physics, electrical
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, or if possible, German language. What you bring to the table Degree (diploma/master) in physics, chemistry, electrical engineering or equivalent disciplines Knowledge and relevant professional
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at the Master's and/or Bachelor’s level courses. Supervision of Master and Bachelor students. Your Skills: M.Sc. or PhD. with background in robotics, mechanical engineering, aerospace engineering, electrical
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excellent degree (Master of Science or equivalent) in Machine Learning or a related field A solid theoretical foundation and practical experience in machine learning Experience in training and evaluation
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entrepreneurial setting Attractive salary Modern and excellently equipped workspace in central location Great and cooperative working atmosphere in an international team Opportunities to write a master's thesis
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the results from these studies in manuscripts, project reports and presentations at international conferences, and prepare a PhD thesis at the end. What do we expect from you? A Master of Science (MSc.) degree
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international centre for freshwater ecological research (www.igb-berlin.de ). IGB is a member of the Leibniz Association (www.wgl.de ) and has close links with Berlin’s three main universities. More than 350