86 parallel-and-distributed-computing "Multiple" PhD positions at Technical University of Denmark in Denmark
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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Job Description Do you have a background in bioinformatics or AI/ML? Do you wish to do a PhD whereby you use your computational skills to discover new insights in industrially important bacteria
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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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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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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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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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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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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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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