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Fraunhofer Institute for Systems and Innovation Research ISI in Karlsruhe is a globally recognized center of excellence in innovation research. The different focuses of our seven Competence Centers
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Job description:Title: DC13, PhD fellowship in explainable machine learning techniques to support the design of plant-based fermented food products – Development of a serious game to support the
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the impact of design measures improving aerodynamic robustness. In this research project, you will generate new capabilities for controlling the three-dimensional flow and further increasing the efficiency
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10.03.2023, Wissenschaftliches Personal We are looking for a motivated Ph.D. student or post-doc interested in developing novel processes that boost the production of bio-based liquid fuels and other chemicals through electrical energy supplied to electrochemical / electro-biotechnological...
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 5 days ago
is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association. Starting on September 1, 2024 our Department Survey Design & Methodology
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will benefit of a dense network of contacts with scientists acquired during network-wide training events, to improve their career prospects in the European and worldwide innovation sector, having
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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weather and climate as well as increasing air traffic safety. The department has recently developed a prototype of a Doppler Wind lidar based on a novel direct-detection design, namely the use of fringe
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is suitable for part-time employment. Starting date: 12.03.2024 Job description: You have the following tasks: Characterization of shape memory films (structure, mechanical, thermal) Modelling, design
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. They generally combine analytical insight from simple systems with more detailed numerical simulations to unveil biological design principles. Additionally, they build tailored models to interpret experimental