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universities, with access to unique deposition and test facilities and strong international collaboration networks. This position provides the opportunity to contribute directly to the energy transition and to
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‘Care is coming home!’, which involves 9 PhDs and 5 Postdocs. So, we offer an excellent inspiring, collaborative, and international research environment, with access to leading experts in medical
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(Department of Physics) and Johan Olofsson (Department of Ecology, Environment and Geoscience). The project is at the intersection of ecology and network science and offers a strong base for the postdoc
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well-being, accessibility, safety, and social cohesion, and translate multi-site data into comparative insights and practical tools for cities and practitioners. What you will do In this Postdoc position
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and practitioners. What you will do In this Postdoc position, you will: Contribute to defining metrics and indicators across spatial (schoolyard, street, neighborhood, city) and temporal (daily, weekly
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Trustworthy Graph Machine Learning for Population Scale Networks Job description We invite applications for a postdoctoral researcher to work on fundamental techniques for trustworthy graph machine
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production, recycling and value chain optimisation. The research focuses on applied AI in areas such as sensor data analysis, time series modelling, automation and decision support, with strong links
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the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting
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an inspiring research setting at one of Europe’s leading technical universities, with access to unique deposition and test facilities and strong international collaboration networks. This position provides
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, photonic (bio)sensors and photonic integrated circuits for biomedical applications in the near-infrared and mid-infrared wavelength range. More in particular, the silicon(-nitride) nanophotonics work focuses