164 parallel-computing-numerical-methods positions at Technical University of Munich in Germany
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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program, LeAD brings together experts from several disciplines, forming a consortium of eight beneficiaries and five associated partners (including three from industries). Through both local and network
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in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute
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of Data Science (MUDS) to train the next generation of “data scientists” – interdisciplinary experts in applying, adapting, and developing methods for AI and data science tailored for a broad array of
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strategies for selected spaceflight scenarios involving a system-of-systems architecture Design software architectures, and develop software libraries and perform computational simulations Lead the development
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management, (organizational) psychology, sociology, economics, business informatics, or related subjects, • with a strong passion for entrepreneurship and/or family business research, • with a solid knowledge
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in
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of the doctoral project is positively evaluated after the first two years. CMS’s inter-disciplinary team is performing research in the broad field of computational methods for the built environment. Particular
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integration of e.g. proteomics, lipidomics, or metabolomics data Requirements: Candidates must hold a master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related discipline
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of computer vision and machine learning methods for automated analysis and processing of multimodal remote sensing data. About us The Technical University of Munich (TUM) is committed to excellence in research