157 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Forschungszentrum Jülich
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characterization and high-temperature transport measurements. For deeper insights, please have a look at our institute website: https://www.fz-juelich.de/en/pgi/pgi-7 and the research group in which this position
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) conferences and project meetings FLEXIBILITY: Flexible working time models, including options close to full-time ( https://go.fzj.de/near-full-time ), allow you to tailor your working hours to suit your
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and the newest technology KNOWLEDGE & FURTHER TRAINING: Your professional development is important to us – we provide targeted, individual support WORK-LIFE BALANCE: Optimal conditions for balancing
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comprehensive master`s thesis Your Profile: Currently enrolled in a Master`s program in Chemistry, Physics, Materials Science, Process Engineering, or a comparable field of study Interest in the research field
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international research sites Your Profile: Completed master’s degree in mechanical engineering, material science, physics or a related field Experience in modelling and simulation (e.g. Python) Willingness and
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environment for reactors in serial production for operando studies Operando investigation of catalyst structures using high energy X-ray methods (scattering, spectroscopy, imaging) using in-house- and
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engineering, materials science, industrial engineering, energy systems, or a comparable field of study Strong interest in additive manufacturing, materials, and resource issues Analytical thinking and interest
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Your Job: The electrocatalytic interface engineering department, led by Prof. Dr.-Ing. Simon Thiele focuses on the manufacturing, analysis, and simulation of functional materials to find an optimal
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master`s degree in natural sciences, engineering or information technology, preferably with a PhD Experience with the structures of the EUROfusion consortium is advantageous Experience in the field
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, you will be an active member of the SDL “Fluids & Solids Engineering” and will collaborate strongly with the SDL “Applied Machine Learning”. You will have the following tasks: You will work together