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Electrical Engineering / Mechatronics / Automation Engineering / Computer Science or related fields Interest in battery technologies and electromobility Basic knowledge of electrochemistry or willingness
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology embodies a university culture that is characterized
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and technologies. The institute employs an average of 500 people from over 40 nations and, in addition to its scientific tasks, is dedicated to promoting young scientists and engineers. Further
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Description In the research group Dependable and Autonomous Cyber-physical Systems (DACS) on Institute for Software and Systems Engineering (ISSE) at Clausthal University of Technology has
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in publications support in teaching at the University of Bremen participation in the acquisition of third-party funded projects What we expect from you: successfully completed studies in engineering or
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must fulfill the following criteria: A completed doctoral degree in the life sciences, biomedical sciences, computational biology, engineering, or a related discipline by the start date of the fellowship
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for different application use cases Your Profile: Enrolled in a Master’s program in physics, materials science, electrical engineering or a related discipline Solid background in solid-state physics and/or
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science, electrical engineering or a related discipline Solid background in solid-state physics and/or semiconductor devices is helpful Basic programming skills (e.g. Python or MATLAB); prior simulation
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microelectronic packaging technology. One challenge, however, is the lack of tacking in dried copper pastes and preforms after the chips have been placed. Especially in series production, the placed chips can shift
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Research