16 high-performance-computing PhD 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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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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. Developing a computer model (“digital twin”) that link physical experiments with advanced control and operation strategies. The model will be utilized for techno-economic investigations regarding flexible
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PhD scholarship in Corrosion Mechanisms of Power Semiconductor Device and Components - DTU Construct
technology. Properties and performance are evaluated by mechanical testing, tribology and testing in corrosive (aqueous or gaseous) and high-temperature environments. Technology for people DTU develops
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interactions. Clone and express top candidates using high-throughput cell-free and bacterial systems. Perform structural and biophysical characterisation of designed enzymes Perform functional characterisation
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Job Description The microbial community of the world's oceans represents a large and underutilized resource for versatile and robust enzymes with potential technological applications. Despite high