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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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degree in information sciences such as computer science, data science or computational engineering. Alternatively, applicants with a Master degree in natural sciences with an affinity for IT are also
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a crucial role in the preparation and monitoring of programmes within the framework of programme-oriented funding of the HGF You will compile basic data for the HGF review procedures that take place
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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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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
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, Computational Engineering, Computer Science) A doctorate is desirable, but not mandatory Strong computational background, including scientific programming skills (e.g. in Python) Expertise in one or more of the
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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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on simulations, using and extending the gem5-model developed within the frame of the EPI project. Your Profile: Enrolled in a Master (M.Sc.) Course for computer science or similar field Good analytical view
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Write reports and research articles, as well as grant proposals, and regularly participate in international conferences to present your own work Your Profile: Masters and PhD degree in computer science
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building models Your Profile: Master studies in the field of of mechanical engineering, industrial engineering, process engineering, informatics and mathematics or similar Good knowledge of a programming