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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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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
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Your Job: To further develop the high-temperature electrolysis and fuel cell technology (Solid Oxide Cell, SOC), you will take over management of the merged departments "Electrochemistry" and
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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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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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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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, computer science, mathematics or other related subject (you do not need a background in Quantum Computation/Optimization) Good programming skills Useful expertise for the project: Graph Theory/Network
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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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through testing of the controller to ensure functionality and reliability before releasing it for operational use. Your Profile: Master studies with good grades in computer engineering, computer science