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, physics, computer science, mathematics, electrical/electronic engineering or a related subject Strong programming skills (Python) Familiarity with machine learning and deep learning frameworks (e.g
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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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to the researched results in order to derive regional demands from the global demand scenarios Your Profile: Ongoing master studies in engineering, industrial engineering or a comparable course of study. You are also
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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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Science, Power Systems, Linear Algebra Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support you in your
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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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: 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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Your Job: In order to optimize the system efficiency of solid oxide electrolysers and fuel cells, the aim is to reduce the operating temperature below 600 °C. This requires the use of new solid
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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