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Field
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, electronics, telecommunications, photonics, microwaves engineering, physics or similar Knowledge of simulation tools for transmission systems, digital signal processing; experience in MATLAB/Python. Theoretical
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Learning, as well as of numerical fluid mechanics (CFD) or aerodynamics. Confident use of Python or equivalent Very good English language skills, both written and spoken (level C1), for the preparation
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well as of engine or system design, or of semantic data modelling. Confident use of Python or equivalent Very good English language skills, both written and spoken (level C1), for the preparation of international
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manipulators is beneficial Strong programming skills in Python, C++ and experience with ROS (Robot Operating System) Experience with machine learning frameworks in particular PyTorch and reinforcement learning
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professional experience in a research environment (e. g., academic research group, core facility, company) Strong programming and data analysis skills, with demonstrated expertise in Python and scientific
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familiar with programming in Python and have gained initial insights into data science and signal processing Your working style is characterised by independence, structure and good organisation What we offer
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A good understanding of mathematical concepts Basic knowledge in programming, e.g. C++, Python, MATLAB, R Creative thinking and interest for novel technologies Good communication skills and teamwork
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numerical simulation of photonic neural networks (PNN) using Python, Photontorch, and/or SAX Assistance in the creation and verification of PIC layouts and specifications for the photonic neural processor
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, flow simulations, turbulence research, signal processing, lidar, AI applications, mathematics, and physicsSignificant prior experience using a scripting or programming language—ideally Python Goal
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, Mathematics, Physics, or a related discipline Excellent programming skills in Python and/or R Strong expertise in machine learning, deep learning and predictive modelling Experience working with multimodal