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analysis, Rresource allocation, growth and welfare evaluation, Technology diffusion and firm level innovation. leading to an internationally competitive PhD degree and internationally peer-reviewed
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engineering sciences or 500 EUR for projects in the humanities and social sciences. Application Papers You can find information on the application process and the link to the online application portal here
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you bring to the table Doctoral degree in electrical engineering, communications engineering, or a closely related field Strong mathematical background with solid expertise in linear algebra
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! background in computer science, open-source projects, digital engineering, data science or related fields good software design skills and experience in building and maintaining data processing pipelines and
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, technology development, and science. On the local education campus, various university and non-university research and development institutions are working together in a unique collaboration and a state-of-the
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well as an active engagement in the 3RTG activities. Requirements: successfully completed university degree (Master's, Diploma or equivalent) and relevant PhD in Computer Science, Computer Engineering, or related
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | about 2 months ago
University FORTH (Foundation for Research and Technology – Hellas) The distribution of time across institutions will be coordinated within the collaboration and aligned with the scientific goals of the project
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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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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput
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biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput datasets