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(MultiACT)”. The project focuses on the development and implementation of a novel attosecond timing tool to be used in combination with an angular-resolved photoelectron detector. The setup will be installed
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and Production Technology Digitalisation of Battery Cell Production Strategy and Corporate Development What you bring to the table You are passionate about the battery cell production of tomorrow and
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well as the scientific and technical development of the division You organize and are responsible for the conduction, analysis, and safety assessment of containers for radioactive materials in accordance with legal
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scientific use cases. Access to state-of-the-art computational resources and an open, collaborative research ecosystem. Your tasks You will lead the development of reliable agentic AI systems that support
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, performing threat modelling and code reviews, and embedding security throughout the software development lifecycle for both in-house and third-party applications. You will evaluate policies, standards
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• Design and teach courses on statistics, software development and good scientific practice aimed at applied researchers • Contribute to the development of new consulting services • Manage consultancy and
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Max Planck Institute for Plasma Physics (Garching), Garching | Garching an der Alz, Bayern | Germany | about 22 hours ago
& Project Launch: In collaboration with external partners, lead the development of the comprehensive funding proposal and project plan for a “next-generation stellarator” to be prepared within
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for sensor development and testing. In the AWESOME project, today’s suite of biogeochemical sensors on Argo floats is getting extended by (a) mounting a new sensor that measures the fluorescence of dissolved
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are looking for a Senior Linux System Administrator (f/m/x) to join our Scientific IT team. Your tasks You will work on the design, development, and operation of HPC and Linux storage systems together
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for age estimation, as well as the development of new, robust methods. To this end: Approaches to be implemented and compared: classical point regression, probabilistic regression, and quantile regression