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. Applicants with a strong background in optimization (including machine learning), algorithmic game theory, decision theory, computational social choice, social welfare, or fairness optimization are welcome
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for the CERIC-ERIC project “LEMIS” aiming to adopt and improve existing Ion Beam Analysis (IBA) techniques for their optimal use in the analysis of materials of importance to energy storage. The successful
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optimization and enable automated diagnosis of performance-limiting factors and suggest optimization strategies. The project will be part of the DFF Sapere Aude project, and research stays abroad are part of
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for food, feed, and fiber handling and storage. Apply mathematical modeling and scientific principles to optimize operational performance. Collaborate with faculty, graduate students, and industry partners
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team of researchers with expertise in thermodynamics, process design, energy system optimization, and life cycle assessment, working collaboratively with research and industry partners. You will work in
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Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Strong skills or interest, and proven experience in: quantitative modelling; machine learning; optimization
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increasing attention in logistics optimization. In last-mile deliveries, in particular vehicle routing, solving stochastic problems efficiently has been of increasing importance due to the ever-growing size
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Erasmus MC (University Medical Center Rotterdam); Published yesterday | Netherlands | about 1 month ago
advanced psychometric methods such as Item Response Theory. Providing recommendations to ensure EORTC’s quality-of-life measures optimally serve regulators, payers, and clinicians for labeling, reimbursement
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batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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Division at DTU Management. The PhD project aims to analyze and optimize Hospital-at-Home concepts using data-driven decision-support addressing challenges like long distances to specialist care and high