208 software-defined-network-phd Postdoctoral positions in Ireland-University-Ranking-2024 in Netherlands
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learning software and platforms (such as OpenML, scikit-learn, scipy). What we offer An employment contract for initially one year. After a positive evaluation of the progress of the research, personal
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together: the backbone defines the interfaces, and your models make it realistic. Where and with whom You will join the Intelligent Electrical Power Grids (IEPG) section and work alongside the UTOPYS
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, including through the wider Amsterdam quantum ecosystem; taking a leading role in scientific publications, open and reusable research software, presentations and/or knowledge-transfer activities; helping
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, networks and sensors that can be deployed in the world. The functionality of these technologies is already articulated to some extent, but applications relevant for people, industry and governments are less
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shaving. Job description The rapid electrification of transport, buildings, and industry is creating unprecedented pressure on urban electricity networks resulting in Grid congestion. In particular
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unprecedented pressure on urban electricity networks resulting in Grid congestion. In particular, construction sites often require high-power charging in locations where grid connections are unavailable
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, you will develop methods capable of automatically generating tailored metadata and associated documentation for defined user groups, integrated into widely used open-source data repository software
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of data and software used and developed in the project. Contribute to reporting and project management, including participation in project meetings. Publish your research results in peer-reviewed
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concerns applied science for and often with public and private partners. Job requirements We are looking for a highly motivated researcher with: A PhD in a relevant discipline, such as urbanism
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build on two trajectories currently underway. The first is led by a PhD researcher who investigates educational practices that protect learning in the presence of increasingly powerful automation tools