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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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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
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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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, energy and weather optimal voyage planning including wind assisted propulsion, enhanced situational awareness for safe navigation, and predictive management of green energy storage systems. The PhD
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and detection, coding theory, and optimization. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or
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on the development of AI-supported and human-in-the-loop methods for automating and optimizing software instrumentation processes. Drawing on a strong background in software engineering, data analytics, and machine
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the design, development, and optimization of next-generation materials and structures across the following research categories: Materials Design, Reactive Systems, and High-Temperature Composites Development
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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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, a cutting-edge initiative aimed at revolutionizing patient monitoring in clinical settings. The focus of this PhD research is to develop optimal methods for capturing and sampling patient states, with