172 parallel-and-distributed-computing-"Multiple" positions at Technical University of Denmark
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qualifications As our new colleague in our research team your job will be to develop novel computational frameworks for machine learning. In particular, you will push the boundaries of Scalability, drawing upon
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graph using RDF, OWL, and related technologies Designing and implementing workflows for data ingestion, integration, and querying across multiple systems Driving use-case studies that demonstrate
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Job Description Producing green fuels via Power-to-X (PtX) technologies demands large volumes of ultrapure water. In parallel, the transition toward bioenergy and biogas production is intensifying
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of this postdoc position is to develop and employ multiple in-situ spectroscopic techniques, including, but not limited to, surface-enhanced IR and Raman, to investigate the reaction intermediates
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optimization. Experience with energy system modeling - ideally of large scale multiple country energy systems, PtX and renewable fuel production. Strong writing and presentation skills. A willingness and desire
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relation to having the optimal phase development during hardening, as the volume distribution of the phases and the molecular structure are not entirely optimal. Since we want to contribute to a circular
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) and geochemical speciation calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties
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section Energy Technology and Computer Science, where you will have around 20 colleagues with a mix of research and industrial experience. We work with research, innovation, technology implementation, and
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study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Senior Researcher Manuel Gesto Rodriguez and Professor and Head of Section Per
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international journals demonstrating the above-mentioned skills Good communication skills and ability to work with colleagues at all levels and proven ability to undertake a complex workload with multiple and