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* for combinatorial solving; some details can be found below. The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description and automatically compute
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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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negatively impacting the growth performance by optimizing feed structure (particle size and distribution, and fiber fractions) of pigs and broiler diets. Furthermore, we aim to evaluate Near-Infrared
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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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biologic therapy, integrating data from clinical trials and real-world studies. The model will be used to simulate and evaluate optimized dosing strategies for special populations, including hard-to-treat
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of vibration along the track and in neighboring buildings, aimed to design vibration mitigation measures and to perform environmental impact studies. Parametric studies, design optimization, and stochastic
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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