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well as the difficulties of performing nanoscale experiments to obtain reliable measurement, especially under strong influence of phase change. For current engineering applications, only some empirical correlations
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: Curriculum vitae Current certificate of enrollment Current transcript of records Bachelor's certificate, if you are already in the Master's study program Please do not hesitate to contact us if you have any
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, support lab courses, and supervise student research. Your profile: Above-average master’s degree in computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering
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engineering, the automotive industry and related sectors. The focus is on intelligent products, production systems, services and software applications. What you will do Given the barriers to traditional
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discipline (e.g., geosciences, physics, chemistry, electrical engineering, materials science, engineering, or a related field) Experience operating and maintaining complex scientific instruments, ideally a
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will be explored for various powertrain configurations, including conventional internal combustion engines, battery electric, and fuel cell-electric power trains. By optimizing modeling subsystems
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science, mathematics, electrical engineering Several years of experience in research in the field of Enterprise Security Strong communication and presentation skills in English and German Experience in applying for and
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standards, budgets and schedules in all department projects What you bring to the table PhD in a relevant field, e.g. computer science, mathematics, electrical engineering Several years of experience in
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of study (Bachelor/Master): Mechatronics, Electrical and Information Engineering, Cybernetics, Robotics, Computer Science, Data Science, Mathematics, Physics, or a related subject area Very good academic
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, Electrical and Information Engineering, mechatronics or a related subject area Very good academic performance Experience from previous own research work or courses in machine learning, computer vision