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Field
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Mechanical Engineering, M. Sc. Management and Engineering in Computer Aided Mechanical Engineering, M. Sc. Management and Engineering in Production Systems, M. Sc. Robotic Systems Engineering, M. Sc. Smart
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, enabling them to tackle the fundamental challenges of intelligent systems. The IMPRS-IS unites within one graduate school a host of leading intelligent systems researchers from mechanical engineering
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studying mechanical engineering, computer science, industrial engineering or a comparable subject Experience in the field of machine learning is an advantage A high degree of initiative and team spirit Very
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with literature, and presentation of results. What you bring to the table You are a student of process engineering, chemical engineering, environmental engineering, chemistry, mechanical engineering, or
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from the perspective of flight mechanics and fluid mechanics. A sound experience in programming in C/C++ and Cuda is very desirable, the motivation to independently develop, implement and test numerical
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. The aim of our group is to improve the understanding of the trade-offs between production, mitigation and conservation in livestock-based systems, and to identify innovative mechanisms for landscape-level
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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field of study can also be suitable for joining us. If you are currently enrolled in a bachelor’s or master’s degree program in Meteorology, Physics, Oceanography, Mathematics, or IT, that is a
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(https://www.icos-cp.eu/projects/icos-cities ) Design and implementation of suitable algorithms, using the High Performance Computing infrastructure at Leibniz Rechenzentrum (LRZ) Analysis of ground-based