89 software-defined-networks Postdoctoral positions in mechanical-engineering 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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, 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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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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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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statistical software such as R, Python, SPSS, or Stata. Affinity with issues of climate justice, social inclusion, migration, and/or community-based research. Experience conducting comparative or mixed-methods
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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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mechanics, finite element modeling, and multi-scale biomechanics who is motivated to work at the interface of cardiac mechanobiology, machine learning, and scientific software development. You will be part of
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the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes
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, you will contribute to defining what laboratory-scale quantum experiments can, and cannot, achieve in terms of sensing capabilities and what they can reveal about decoherence, the quantum-to-classical