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an existing simplified model Your Profile: You are studying engineering, industrial engineering, energy technology, physics or a comparable course of study. You are also characterized by: An interest in
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the experiment and analyzing the results in order to answer the research question. It is likely, however, that the results can also be used to answer other questions and therefore existing results are an unused
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for licensing, spin-offs or cooperations for business and society. Your tasks in this exciting job in detail: You develop data- and technology-driven business models, carry out market and technology assessments
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Postdoc – Synthesis and up-scaling of high-performance active materials for Na solid-state batteries
electrode active materials, especially for the positive electrode (cathode), still need to be further developed in order to achieve similar performance to current Li-based active materials. Therefore, within
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and interests - may lead to scientific collaborations Your Profile: Master`s degree in computer science, software engineering, physics or in a related discipline PhD or/and publications would be a plus
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to accelerate materials research and develop the next GW photovoltaic technology. We use automated research equipment to experimentally produce, characterize and optimize solar cells. In doing so, we collect a
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natural sciences or engineering and preferably a PhD and furthermore ideally already have good knowledge of science management and committee work You have already acquired basic knowledge and work
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networking of neuro-scientific, social-scientific and philosophical research results within the joint project as well as the effects of brain age prediction on the scientific and social understanding of ageing
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to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s
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Your Job: In our team you will collaboratively work on: Collaborative development of semantic artifacts in materials science, in a scale- and method-bridging approach for crystallographic defects