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Hunger Lab at Tilburg University, and four industry partners. In this project, you will develop and advance optimization models and algorithms to support decision-making in food supply chains, with
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For more information about the position, please contact Dr. Rene Haijema, Associate professor, Rene.Haijema@wur.nl. Questions about the procedure? Get in touch with Jessa Rozema, Corporate Recruiter, via recruitment.support@wur.nl . Ready to apply? Click on the application button next to the...
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! We are inviting applications for a 4-year full-time PhD position as part of the SCOPE project—Shelf-life Control, Optimized Pricing, and Excess Redistribution—a collaboration between the Operations
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, so that it can be easily used in practice (fast optimization, embedded decision-making, online updating). 1. Design a lightweight statistical/probabilistic surrogate model, integrating: • an estimation
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characterization methods is required. For this purpose, we are looking for two PhD candidates to tackle the rheological characterization and constitutive modelling of molten unidirectionally reinforced thermoplastic
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an integrated model of plant carbon allocation, based on eco-evolutionary optimality theory. The PDRA will be explicitly responsible for designing an approach to evaluate and model carbon allocation to non
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, CT, and other imaging techniques. Design and optimize multiparametric models to analyze complex imaging datasets and extract clinically relevant features. Develop and optimize newer clinically relevant
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optimization methods that remain effective across a wide range of plausible futures: Formulating a fleet-wide optimization model that integrates both vehicle-level decisions and shared fleet-level costs (e.g
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We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of physics-based computing paradigm. The ideal
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theoretical basis for modelling functional biodiversity, based on eco-evolutionary optimality (EEO) theory. The PDRA will be explicitly responsible for statistical analysis of plant trait data and the