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with graph-based database software. . Job description Identifying public and commercial data sources relevant to pharmaceutical production, trade, and supply chains. Writing scripts for web scraping and
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project “eDIAMOND: Efficient Distributed Intelligent Applications in Mobile-Network Dynamics” . The eDIAMOND project aims at developing new methods and systems for decentralized and distributed data-driven
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offered by the ASVZ , childcare and attractive pension benefits . Training opportunities Perspectives for career development Support programmes (e.g., mentoring) and networks Fruitful working environment
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of Riccardo Catena at Chalmers University. The overall goal of the project is to develop, numerically implement, and apply a theoretical framework to accurately describe the expected dark matter-induced
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on infectious disease dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within
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dynamics using a broad range of mathematical, computational, and experimental approaches to study the population dynamics and evolution of infectious pathogens on both the within and between-host level (1 ,2
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to engineer human cells and develop advanced gene and cell therapies targeting cancer, as well as metabolic, neurodegenerative, autoimmune and infectious diseases. For more information, please consult our
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20%-30%, Zurich, fixed-term The research group Spatial Development and Urban Policy (SPUR) at the ETH Zürich’s Institute for Spatial and Landscape Development, led by Prof. Dr. David Kaufmann
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." This project aims to develop data-driven tools to assess supply chain vulnerabilities for critical medicines, using pharmaceutical Bills of Materials (BOMs), trade flows, and production data. The work is part of
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motivated candidate with a strong interest in material development and characterization for electrocatalytic applications. LESE is focusing on the development, characterization and advancement of (solid) CO2