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, companies use algorithms to design targeted marketing campaigns. Causal Machine Learning is an emerging research field that can learn the causal effect of an intervention and how it varies within a population
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to build a robust system dynamics model to simulate and predict these potential side effects. In this regard, the research will provide insights into how food sharing platforms can be managed to maximize
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approaches from the bottom up: starting from wave physics in complex media to clinical translation. In particular, the PhD student will develop quantitative approaches exploiting elastic waves and 4D
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the research conclusions. Tasks include Conducting a qualitative and quantitative content analysis of news media portrayal of TGN people; Conducting experiments on effects of TGN frames on employability
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and effects of commercially instigated media capture on journalistic outputs, citizen trust, policy, and individual journalists in the European context. The PhD track is part of two programme groups
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optimize prognostic epidemiological research and generate relevant insights into the relation between patient-related characteristics, including germline DNA, and outcome in bladder cancer. Bladder cancer is
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? Your tasks and responsibilities: perform novel research in the area of event-based communication algorithms for digital twins, defining formal models, engineering respective software frameworks
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. In order to create a better holistic digital representation of the environment, we need to ensure that effective knowledge transfer is taking place between such autonomous entities. Knowledge transfer
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18 May 2024 Job Information Organisation/Company Erasmus University Rotterdam (EUR) Research Field Economics Researcher Profile First Stage Researcher (R1) Country Netherlands Application Deadline 1
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of corporate legitimacy, compared to (traditional) news media. The project's findings are expected to significantly contribute to research and practice by informing researchers, companies, policymakers, and