65 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FCiências" positions at Leibniz in Germany
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The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food
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qualifications Successfully completed university degree (master, diploma, or equivalent) in computer science, physics, engineering, mathematics, or comparable field, In-depth theoretical knowledge in Machine
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intelligence modelling methods and deep learning techniques can also be used in both areas. Your qualifications: Master's degree/diploma/doctorate in computer science, mathematics, physics, engineering, or a
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Policies”, led by Prof. Dr. Jan Steckel who is also Professor at TU Munich’s School of Social Sciences and Technology. The position is embedded in the research project “EVIDENCE – Evidence based research
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funded by the Leibniz Collaborative Excellence program and conducted in cooperation with the Institute of Space Systems at the University of Stuttgart. The position includes setting up a multi-metal lidar
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the framework of de.NBI and ELIXIR Your profile: You hold a university PhD in bioinformatics, computer science or a related discipline experience in algorithms, software engineering and statistics You are able
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interdisciplinary project seeks to develop new approaches to resilient and sustainable urban development, in cooperation with Karlsruhe Institute of Technology (KIT) and RWTH Aachen. For the subproject based
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Project manager in the context of the European Collaborative Cloud
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assess consequences of changes along tropical coasts for the Earth system. The strategic extension is integrated into the interdisciplinary ZMT Programme Areas . It will enhance ZMT’s modelling
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in a highly coordinated manner. A dedicated team of 22 scientists and software engineers creates a research data infrastructure which will significantly improve the access to curated and standardized