59 requirements-engineering-"https:"-"https:"-"https:"-"U.S"-"TCAT-Dickson" PhD positions in Netherlands
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PhD research will involve actual applications, enabling you to really make a change in people’s life. In the Netherlands, the municipality of Helmond is our living lab. This four-year PhD project is
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Key takeaways Minimally invasive interventions increasingly require tools capable of sensing, actuation, and manipulation at sub-millimetre scales. Micro-robotic systems enable highly miniaturized
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Medical, Biomedical and Health Sciences Natural Sciences and Technology Who is it for? Scientists and scholars in the Kingdom of the Netherlands who obtained their PhD between three and seven years ago, and
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The Innovation Management section of the Technology and Operations department at the Rotterdam School of Management, Erasmus University, has re-opened this position. Successful innovation management involves all
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the definitive proof-of-concept for the MagHeat technology. Information and application Are you ready to join us in building the future of sustainable heating and cooling? We just need two items from you
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sheltered workplaces (in Dutch: sociaal ontwikkelbedrijven) and work integration enterprises – to include marginalized groups of workers into the labor market. These organizations however need to overcome
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Vacancies PhD position on: “High pressure CO2 electrolysis to formate / formaldehyde” Key takeaways Are you passionate about electrochemical engineering and materials for electrochemical conversion
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of infrastructure components (e.g., pavement stones, concrete kerbs, sewage pipes) is gaining momentum, but scaling remains difficult: supply and demand rarely align in time, place, and specification, and
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on learning, instruction, and educational technology within the team Educational Sciences at Erasmus University Rotterdam. The project is enabled by research funding from the Dutch Knowledge Institute
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: 10 May 2026 Apply now Predicting ecosystem dynamics under global change requires accurate, high-resolution soil information. Existing global soil maps are largely based on empirical machine learning