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Field
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Identify new applications for Machine Learning in science, engineering, and technology Develop, implement and refine ML techniques Implement parallel ML training on the High Performance Computers Engage in
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, NumPy, Pandas and similar libraries Experience in software engineering and writing clean, maintainable code Interest in self-responsible scientific research and studying current ML methods Ability to work
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similar libraries Experience in software engineering and writing clean, maintainable code Interest in self-responsible scientific research and studying current ML methods Ability to work independently and
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would like to commit themselves, their achievements and productivity to the success of the whole institution. At the Faculty of Electrical and Computer Engineering, Institute of Communication Technology
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Computer Science, Information Technology in Mechanical Engineering/Computational Engineering Sciences, Physical Engineering Sciences, or related fields Strong team skills and the ability to work independently and
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the field of electrical engineering / information technology or in a related field of study in an independent way of working and enjoy interdisciplinary teamwork good language skills in German and/or English
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student in Germany, eligible and willing to relocate to Fraunhofer ENAS site in Chemnitz for conducting the tasks. You are studying electrical engineering, chemistry, material sciences, microelectronics
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well as the Institute for Visual and Analytic Computing at the University of Rostock. The successful candidate is expected to have a degree and PhD in engineering, electrical engineering, computer science, or related
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chips Evaluation of chip performance in system experiments Working with international industrial project partners What you bring to the table Completed master's degree in electrical engineering or in a
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research facility in an international environment Competent support from experts in IT, construction, and electrical engineering Comprehensive training courses and individual opportunities for personal and