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inference (Jason Roos), consumer eye tracking (Ana Martinovici), digital marketing and behavioral decision making (Alina Ferecatu), virtual / augmented / mixed reality (Yvonne van Everdingen), digital
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for differentiating effectful programs such as gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice
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structural modeling, machine learning, and competitive intelligence to infer demand using partial or aggregated signals. While early results are promising, important questions remain: Which partial data is
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a VICI NWO grant. Keywords Algorithmic bias, Causal Inference, Discrimination, Fairness, Machine Learning, Targeted Marketing Campaigns Topic The marketing group at Rotterdam School of Management (RSM
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function differentiation, compositional Bayesian inference techniques); analyzing what is required (e.g., choice of data structures, static analyses and compiler optimizations, parallelism and concurrency
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to encourage knowledge exchange. In addition, we have a track record of excellent academic placements. Around 80% of our graduated PhD’s started their first job in academia, and over 50% landed a job at a top
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domains. Develop hybrid AI architectures combining symbolic domain knowledge, real-time data streams, and probabilistic inference. Design and evaluate decision support tools capable of interacting with
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to improve R&D efficiency, and the influence of investors and other external actors on entrepreneurial outcomes. Our research also examines decision-making under uncertainty, including the use of Bayesian
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collaborative. Proxy data will amongst others infer the stable isotope composition of foraminifera and mollusc shells, since not much is known about the changes in temperature and isotopic composition
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the Netherlands’ national bird, the black-tailed godwit. Join our team! We seek a quantitative, ecology-minded PhD candidate to expand our state-of-the-art Bayesian Integrated Population Model (IPM