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between different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science as well as physics, optics and manufacturing
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mechanical engineering, computer science, CES or a comparable subject Experience in technical drawing/CAD software and design of experiment (DoE) is helpful Skills in conceptual thinking are advantageous A
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platform as a doctoral student? At Fraunhofer IPMS , in collaboration with renowned German and European partners from science and industry, we are developing analog accelerators using novel non-volatile
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background? You should have completed your diploma or master’s degree in a natural science or engineering field. Your experience in the wind energy sector (either from industry or industry-related research
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At the Fraunhofer Institute of Optronics, System Technology and Image Exploitation IOSB we perform fundamental and applied research in the fields of laser technology, photonics, imaging sensor
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and prediction of dynamic objects What you bring to the table Enrolled in one of the following or related fields of study (Bachelor/Master): Computer Science, Data Science, Mathematics, Physics
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lot? Do not worry, you will be supported by your colleagues in the team. What you bring to the table What is your background? You are studying Wind Energy, Mechanical Engineering, Mathematics or Physics
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computer science, mathematics or an equivalent with above-average performance You have very good knowledge in one of the following areas: Programming skills in Python, C++ or CUDA Deep learning frameworks
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Single-shot Reinforcement Learning What you bring to the table Enrolled in one of the following or related fields of study (Bachelor/Master): Computer Science, Data Science, Mathematics, Physics
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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