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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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position within a Research Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Scientific / postdoctoral posts Job description: Your Job: In our
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Infrastructure? No Offer Description Work group: IBG-4 - Bioinformatik Area of research: Promotion Job description: Your Job: Analysis and integration of diverse biological data from the field of plant sciences
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experiments and aims at directing projects to the best neutron instruments within the League of European Neutron Sources (LENS). For this task we need you as a specialist who can bring high level science to
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and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our
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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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: 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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Postdoc – Synthesis and up-scaling of high-performance active materials for Na solid-state batteries
manufacturing process of future battery systems - from materials synthesis to characterization. Your Profile: Successfully completed scientific university degree (Master) in the field of chemistry, materials
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, software engineering, computer science or in a related discipline PhD or/and publications would be a plus Demonstrable experience in software development Expert knowledge of C++ or Python, familarity with
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addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC