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Field
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computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline Advanced software development and data analytics skills Hands-on mentality with
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mathematics, computer science, information technology, electrical engineering, physics, mechanical engineering, or a comparable qualification Sound knowledge of mathematics and physics, especially in the fields
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technical field, such as mechanical engineering, computer science, transportation systems, or civil/environmental engineering with a focus on traffic engineering, with very good grades. You bring solid
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quality in a thematically related field (e.g. battery technology, automotive engineering, electrical engineering) and have previously completed your master's degree in a technical field, such as mechanical
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the Research Group “Numerical Mathematics and Scientific Computing” (Head: Prof. Dr. V. John) starting November 1, 2025. We are looking for: The applicant should perform active research in numerical analysis
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, physics or related fields • Very good and fundamental knowledge in the areas of fluid mechanics and aero-thermal turbomachinery • High fascination for technical/scientific problems of numerical and
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mobility, user demands, wireless system deployment) as well as the digital world (such as networking, memory, computational resources for different applications). Information about the physical and digital
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or related fields • Very good and fundamental knowledge in the areas of fluid mechanics and aero-thermal turbomachinery • High fascination for technical/scientific problems of numerical and experimental
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the following areas: PhD in mechanical/electrical engineering, robotics, computer science, or a comparable field, Experience in self-reliant managing of research projects (financial and administrative) and
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, agriculture science or related fields (Science: Biology, Computer Science, Data Science, Agricultural Economics etc.; Engineering: Mechanical, Electrical, Bionics, etc.) 3. Programming knowledge for AI