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this, these simulations need to be massively parallelized. The objective of this thesis is to implement and evaluate different contingency parallelization approaches using our group's computational infrastructure
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skills and experience with numerical modeling and particle-based methods Interest in working closely with experimentalists Excellent written and spoken English skills Experience with parallel programming
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partners (ITU, WMO, UNEP, UNFCCC, and UPU) to support the development of international standards for the use (and development of policy around) AI in disaster management. In parallel, Fraunhofer HHI is
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of income, including other scholarships If you have applied for admission to a Master's programme in parallel: reference number and submission date of your application. Incomplete applications cannot be taken
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opportunity to develop and lead their own independent research project, recruit PhD students through the IMPRS PhD program, and build a team by hiring postdoctoral researchers. In parallel, they will oversee
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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research funding • Strong organizational and management skills, with the ability to manage multiple tasks in parallel • Excellent analytical skills and ability to present interdisciplinary research
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be trained step by step as a machine operator and actively support the ongoing production processes. You will independently conduct quality control in parallel with production and prepare the product
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 1 month ago
independent research project, recruit PhD students through the IMPRS PhD program, and build a team by hiring postdoctoral researchers. In parallel, they will oversee the development and implementation
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-edge Machine Learning applications on the Exascale computer JUPITER. Your work will include: Developing, implementing, and refining ML techniques suited for the largest scale Parallelizing model training