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Your Job: Gravitational waves from colliding black holes, exploding stars or maybe from dark ages of the universe tell us about the evolution of our cosmos. Following the Nobel Prize in physics
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describing experimental results Correlating material parameters with process conditions of sample preparation Deriving insights for film and device fabrication based on the above described workflow Your
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. Work with large language models (LLM) and deep learning algorithms to drive the inverse design of materials and uncover new physical and chemical phenomena. Ensure the integration and effectiveness of AI
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interpretable machine learning approaches for the domain of materials science, physics, microscopy Incorporation of machine learning results with simulation methods Working on project-related tasks where you can
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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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analysis of collected air samples with the GC-HID-ECD system Investigate the climate impact of the measured H2 profiles in collaboration with our modeling department Your Profile: MSc in meteorology, physics
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visit to France. Your tasks will mainly include the: Use of state-of-the-art synthesis processes for the production of graphene oxide-based active materials Optimization of the process to achieve
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the: Use of state-of-the-art, industrially established (continuous) synthesis for the production of Na-based cathode active materials Optimization of the process to achieve the highest possible yield and
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. Additionally, enjoyment of teamwork is an important requirement. Masters degree in electrical/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong
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) in chemistry, materials science, geoscience, physics or related field Experience in laboratory work, e.g. synthesis and/or physicochemical characterization such as IR, CHN, PXRD High motivation