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) computer simulations of heliospheric plasma processes with kinetic (PIC) methods and MHD models. The specific goals to be pursued within the 1+1-year period are tied to the aforementioned topics (turbulence
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to the success of this project: 1) Development and implementation of physics-based continuum models to predict the cycle life of cathode and anode materials.2) Training of a Large Language Model (LLM) that acts as
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, we develop and deploy energy system models. We are currently offering a post-doc position on energy systems modeling and electricity market design (exact scope dependent on ongoing and new research
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the larger BacterialBlueprint framework. The general goal of this framework is to uncover the internal architecture of bacterial replication, beyond that of classical model species, and identify the molecular
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. Discovering protein-based regulation of helitron transposons and their role in creating genetic variation: Helitrons are a type of DNA transposon that can create new genetic variation in plants. In this project
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collaboration, and who have experience in the following areas (with the first being the most important): Semantic web technologies and knowledge graphs (RDF, SPARQL, SHACL, etc.) Large language models (LLMs
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environment at Europe's most innovative university, in a well-equipped, experienced and internationally oriented research unit. The research will be based at the Department of Computer Science at the Arenberg