22 postdoctoral-position-in-material-science PhD positions at University of Twente in Netherlands
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Vacancies PhD position on Memristive Smart Materials for Information Processing Key takeaways This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing
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. For more information regarding the topic of position, you are welcome to contact Tom Coenen (t.b.j.coenen@utwente.nl ). About the organisation The Faculty of Engineering Technology (ET) engages in education
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Vacancies PhD Position in Algorithmic Energy Trading Key takeaways In recent years, the energy sector has undergone changes that have a high impact on the dynamics in power markets. One
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regarding the topic of position, you are welcome to contact Andreas Hartmann (a.hartmann@utwente.nl ). About the organisation The Faculty of Engineering Technology (ET) engages in education and research
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society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading
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. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology
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Vacancies PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery Key takeaways A hip fracture in older adults is
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Vacancies PhD position on Assessing DNS Dependencies at Scale Key takeaways The Domain Name System (DNS) plays a central role in the Internet’s infrastructure. Its distributed nature has enabled
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-array microwave power generation, beamforming systems and transceiver technology in wider sense, this is the place to be. Your job will be part of the POLARIS programme, that ensures tight connections
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic