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: Very good performance in your Master`s degree in the fields of energy technology, mechanical engineering, materials science, civil engineering, industrial engineering, physics, resource management
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Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning
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information from experiment data Evaluation and development of specialized and/or interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine
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of the frequency-dependent measurements Determination of resistive and non-radiative recombination losses due to the different layers and their interfaces Your Profile: Bachelor Degree in physics, material science
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preparation Deriving insights for film and device fabrication based on the above described workflow Your Profile: Masters degree in physics, materials science, physical chemistry, electrical engineering and
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processing, as well as human resources management Medium and long-term planning of resources, devices and other equipment Your Profile: Completed master`s degree with subsequent PhD in chemistry, materials
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Your Profile: Required qualifications and skills: Masters degree and PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good
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batteries and also includes a research visit to France. Your Profile: Successfully completed scientific master’s degree and PhD in the field of Physics, Chemistry, Materials Science or a comparable field with
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/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong electronics background, with experience in design and simulation of analog, digital
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testing of the catalysts’ OER performance and durability Your Profile: Undergraduate education with excellent marks in Material Science, Physics, Engineering or Chemistry Basic knowledge of electrochemistry