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Documentation of the work results in a final thesis and presentation What you bring to the table Sound basic knowledge of mechanics, mathematics and control engineering Good programming skills, ideally in Python
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backsliding. Job description Applicants should be well-established within the international academic community, have a distinguished record of excellence, as evidenced by outstanding international publications
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engineering, the automotive industry and related sectors. The focus is on intelligent products, production systems, services and software applications. Numerous studies have highlighted that existing security
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spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
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physics, mechanical engineering, materials science or a comparable course. Process technology and data science are your areas of interest. You have initial knowledge of programming with Python and some
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full-stack developer position to be filled on August 1st 2025 to enlarge our strong research team developing production-quality medical NLP applications. Full-Stack Developer Position at TUM (sebis
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language is beneficial (at least A1-level) For further information, please contact Antonia Hausen (bewerbungen-ifs@polsoz.fu-berlin.de / +49 (0)30 838-57651). Applications should be sent by e-mail, together
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extension). YOUR TASKS Synthesis of MXene and other 2D nanomaterials for (electro)chemical applications. Synthesis and functionalization of the intralayer space to study (and capitalize off) confinement
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compensation for overtime, company pension plan, capital-forming benefits, discounted »Deutschland-Job-Ticket« for public transport, free parking and secure bike storage with EV charging stations, and discounted
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measurements, X-ray diffraction, neutron scattering and electron microscopy Your Profile: You are currently studying in a master`s program physics, chemistry, materials science, nanoscience or a related subject