38 high-performance-computing positions at Technical University of Denmark in Denmark
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this project you will develop methods for high-throughput phenotyping of microorganisms, refining experimental and computational workflows for the generation of omics data at a high-throughput. You must have a
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systems, with a particular focus on Internet-of-Things (IoT) and the computing continuum eras. Our vision is to pioneer advancements in high-tech distributed and embedded systems technology, driving change
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
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offered within the Marie Skłodowska-Curie QuNEST – Quantum Enhanced Optical Communication Network Security doctoral training program (https://qunest.eu ) and the Villum Investigator Program: Power-Efficient
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. Collecting and analyzing data from a full-scale (150 kWh capacity) pilot installation at DTU. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation
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Job Description DTU Chemistry is an internationally leading department of chemistry with a high level of research activity and a strong focus on training the next generation of engineers in
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experiments developed within the IBIS program Performing phenotypic assays, genotyping assays (e.g., 16S/ITS sequencing), and metabolomics profiling for characterization of diverse microbial strains Supporting
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, construct high-performance experimental setups, take initiative and leadership, and secure progress of the experimental work on a daily basis. Essential is your internal drive to achieve significant and
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electrical and photonics engineering. Research is performed within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics