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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 8 days ago
an important aspect of this work. Overall, the project aims to harness targeted genome modifications to shed light on how Wnt proteins are produced and distributed in animal tissues and how receiving cells
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climate,environmental, land-use and socio-economic drivers to predict vector distribution, transmission potential andoutbreak risk for pathogens such as West Nile fever,tick-borne infections and Aedes-borne
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research school on secure distributed computing (SeDiC) is proposed. SeDiC aims to tackle the challenges of exchanging and computing data across a network of interconnected systems. It addresses scalability
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: Fail safe, Distributed Digital Twin for Innovative Air Mobility (IAM) Operations Supervisor: Prof. Dr. Uwe Assmann, Chair of Software Technology and co-supervised by at least one
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Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
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promising lean alloy system for additive manufacturing, as the mechanical properties can be tailored through phase composition, distribution and morphology by tuning process parameters. The work is carried
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configurations (residential, commercial, mixed-use) and their interactions with distribution grids Assessing how renewable integration, storage technologies, and demand flexibility affect system performance
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Research Center Borstel - Leibniz Lung Center | Hamburg Gro Borstel, Hamburg | Germany | about 2 months ago
antimicrobial resistance (AMR) genes are distributed via dust particles in and around agricultural facilities. This interdisciplinary project is conducted in close collaboration with partners at the Robert Koch
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application to https://www.maxplanckschools.de/en/schools/cognition/application Structured research and supervision Yes Research training / discussion Yes Support for international students and doctoral
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, accelerate global biodiversity discovery through open museum data, and unravel the evolutionary history of Annelida – a diverse, ecologically important, and globally distributed but still understudied animal