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offers first-class cooperation and development opportunities. In section 1.2 Global Geomonitoring and Gravity Field (Department „Geodesy“), we are looking for two positions: Reference Number 10837
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 5 days ago
leading AI researchers. We are seeking a Research Engineer – Software Development or DevOps (m/f/d), 80 – 100 % with a diverse skillset to support researchers and engineers in turning research into high
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production and prepare the product for further processing or shipping. You will prepare the production and testing processes, e.g., by attaching connectors or cutting films to size, and organize
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Your Job: Help us further develop the dynamic Jupyter4NFDI web frontend and contribute your own ideas and suggestions for continuously improving the user experience Develop new components
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enable the digitisation of strategies for the expert. The concept is also used to describe an algorithm for the development of process parameters to eliminate laser-induced roughness during laser polishing
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, we work on the interconnection of crystalline silicon solar cells. We develop and optimize the manufacturing processes and evaluate new materials. Our development priorities are higher efficiencies
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are now looking for a Doctoral candidate (m/f/d) on the development of optical clocks Your tasks Enrollment at a partner university (Humboldt-University Berlin, Group for Integrated Quantum Sensors) as a
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coupling for a successful energy transition. Our research institute conducts applied research, develops innovative technologies for public and industrial clients, and translates these into marketable
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Master's thesis on the development of a forecasting tool using AI in the field of welding technology
. As a trailblazer and driving force for innovative developments and scientific excellence, it helps to shape our society and our future. For over 35 years, the Fraunhofer Institute for Production
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. Utilize AI and statistical techniques to extract insights from large time series datasets. Collaborate within an interdisciplinary team to develop innovative algorithms for forecasting, ranging from short