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signal processing techniques (Python or MATLAB) Experimentally characterize optical and electrical components (lasers, optical components, optical fibers, etc.) Plan, simulate, and set up optical systems
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for your independent, organized, and structured approach to work Experience conducting simulations using ANSYS and Python is a plus, but not required What we offer 👥 Team spirit: Creative, interdisciplinary
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engineering, physics, mechanical engineering, computational engineering science, or a similar engineering or science program Experience in programming with Python and a basic understanding of data science and
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, you have developed a sound understanding of the use of simulation and data analysis software (e.g., ANSYS, MATLAB, and Python). Do you also have experience in developing FE models of complex systems
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. Analytical Skills: Solid understanding of mechanics and wave propagation. Programming: Proficiency in Python for analytical modeling and data processing. Strong English and German reading and comprehension
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and very good English language skills (written and spoken) Solid programming skills in Python Structured, independent, and reliable way of working What we offer Opportunity to contribute your own ideas
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engineering, physics or a comparable subject You have initial experience in setting up and operating opto-mechanical systems Knowledge in programming with Python is advantageous A high degree of initiative and
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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Knowledge in the field of Machine Learning, including training, inference, and optimisation of transformer architectures. Knowledge in the field of ML security is desirable. Good Python skills, especially
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or related fields Strong interest in machine learning Basic knowledge of Python and common machine learning libraries Basic knowledge of electrochemistry and battery technology or willingness to learn What we