4 numerical-optimization Postdoctoral positions at University of Twente in Netherlands
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life-long follow-up. In the ZonMW-funded AI for EVAR project, we develop multi-modal models for optimized selection of treatment before, and follow-up after EVAR. You will implement and advance
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developing morphing surfaces enabled by Shape Memory Alloys (SMAs). These adaptive winglets are designed to optimize aerodynamic performance by responding to temperature variations and incorporating active
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contribute to smart grids that make energy networks more efficient, mathematical models that assist medical doctors, schedules that make hospitals more efficient and numerical schemes to study multiscale fluid
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for mastering magnetron sputtering of piezoelectric thin films. This includes: Exploiting new deposition schemes and parameters of reactive magnetron sputtering, aiming for optimal piezoelectric thin film