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Field
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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prototypes with field tests, and (3) unravel the optimal mimic size for contrasting ecological settings in field experiments. Both PhD candidates will closely work together, and with a post-doc that will
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learning, discrete optimization, operations research. A strong interest in the medical and health policy aspects of the project are a plus. An interest in both technical and socio-technical aspects
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position as part of the SCOPE project—Shelf-life Control, Optimized Pricing, and Excess Redistribution—a collaboration between the Operations Research and Logistics group at Wageningen University, the Zero
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developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize
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The Department of Medical Imaging is one of the most active research departments of the Radboudumc. More than 100 researchers are continuously striving to optimize healthcare. Close cooperation
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seeking a highly motivated PhD student to join our team to work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications. You as the successful
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habitat formers aggregate, causing self-facilitation to only work beyond certain minimum patch sizes and densities. This creates a ‘chicken-and-egg problem’ when ecosystem restoration is attempted
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industrial contexts; investigate optimal levels within the product structure for deploying AM in repair and spare parts support; integrate forward and reverse flows in manufacturing and maintenance
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Wageningen University & Research (WUR) highly values diversity and inclusion because we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome