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strong expertise in soft and stretchable sensing (e.g., strain-gauge sensing, EIT, PAT), control engineering, optimization, and modeling, along with a strong interest in (soft) robotic systems. You have
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Description The PhD researcher will work on the Inventory-Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The IRP-PD requires the joint optimization of inventory and
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such as surgery, patient or staff scheduling using, e.g., multi-objective optimization or machine learning approaches and analyzing efficiency-fairness trade offs. The research will be conducted under
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presents significant challenges. These include enormous data bandwidths, sophisticated optical control, advanced rendering pipelines, and new algorithms that can tightly integrate physical hardware, sensors
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to optimization (OR) and education, for which we see two interesting research tracks. The first track focusses on the practical organization of teaching, and may include problems like university course timetabling
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reactor MOX, are inadequate due to altered thermodynamic behavior. Optimal sintering parameters are essential but complex to define, especially under industrial conditions using continuous furnaces with
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with an in depth characterization of the genotypic configuration of resulting 2n pollen Technical design and optimization of practical methods for inducing 2n pollen grains and obtaining triploid progeny