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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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: This PhD project will develop model- and data-driven hybrid machine learning material models that capture the complex, nonlinear, path- and history-dependent behaviour of materials. The goal is to create
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across mechanical, materials and robotics engineering; optimisation, systems and control; and sustainable chemical engineering and biotechnology. Qualifications The ideal PhD candidate for this position is
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. The institute provides a collaborative, resource-rich environment with cutting-edge laboratories and facilities to support transformative research across mechanical, materials and robotics engineering
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flexure-based design for frictionless, repeatable motion. Interdisciplinary collaborations—with control, materials, and tribology experts—enable the creation of high-quality technology demonstrators. Strong
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Your job The Knowledge, Technology and Innovation chair group at Wageningen University welcomes applications for a PhD position in the EXTRA consortium ‘From EXperiment to sustainable change
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. The SMARTIER project is funded by EFRO Oost. This position will give you ample opportunities to collaborate with EngD and PhD students, post-docs and other researchers within the Membrane Science & Technology
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Vacancies PhD position VIA PRUDENTI - Collaborative Infrastructure and Asset Management Practices Key takeaways Society is facing major challenges like labour and material scarcity, digitalisation
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Organisation Job description In the Engineering and Technology Institute Groningen (ENTEG), we are looking for a talented and motivated PhD candidate on electrochemical ammonia synthesis in Protonic
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interfacing of the sensors. The PhD candidate will work at the Integrated Devices and Systems (IDS) group within the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University