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international, multidisciplinary, and academic-industrial team. be willing to participate in educational activities such as guest lectures. have proven excellent written and spoken English skills. TU Delft (Delft
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education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position. Where to apply Website https
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the interface between the classical and quantum worlds. You will design QEC codes suited to realistic hardware, develop the decoding algorithms that make them practical, and map the trade-offs between reliability
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of environmental biotechnology and engineering, systems microbiology, and computational biology, with ample opportunities to develop your own scientific ideas. Job requirements The ideal candidate will have the
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space to shape your work independently and develop your ideas. A close-knit community of colleagues to collaborate and grow with. A solid pension plan via ABP, company fitness schemes, and access
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PhD candidate you will develop new ways to extract cosmic-ray physics from KM3NeT data. You will design and characterise reconstruction methods—both machine-learning-based and traditional
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receiving a diagnosis, while the current gold-standard CFT test is invasive, costly, painful, and limited available. In this PhD project, you will help develop the first blood-based test for ANOCA, combining
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“Health Passport” system for railway tracks on bridges, enabling data-driven condition assessment and supporting more efficient maintenance and asset management strategies. The project aims to develop a
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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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to enable indirect and frequent assessments of railway embankment conditions. Using measurement data collected by the CTO monitoring train in the Netherlands, the research will examine the relationships