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, applying advanced modeling techniques and analyzing large-scale datasets to contribute to healthcare policy decisions. The PhD project will be supervised by Dr. Nora Franzen and Professor Maarten J. IJzerman
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” of teams in realising fit-for-purpose services and facilities, and have a systemic perspective on professionalisation, collaboration and change. Where possible, they provide growth and performance
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transmission, outbreaks, and health system strains. Developing models for infectious disease interventions under these dynamic conditions demands innovative approaches and presents distinct challenges. We
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of limited value. An eHTA requires building a health-economic model and scenario analyses, which will help determine the plausible range of health improvements and cost consequences. As more data become
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’, i.e. policies that deal with problems after they occur, rather than long-term prevention. By developing innovative simulation models that incorporate the life-course consequences of policy options, your
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assumptions that need to be made in order to solve or estimate the model, and understand their implications; Develop methods necessary to extract research results from data; Present research findings
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research team to develop strategies and business models that are regenerative, profitable and scalable. You are based in both the RSM Finance Department and at the Animal Production Systems group
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governance and have the required skills, we encourage you to apply! Job description Key Responsibilities The Research Assistant will contribute primarily to data collection and agent-based modeling (ABM) tasks
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remains high. In this project, we aim to test whether a novel approach can effectively prevent relapse in a fear conditioning model. Research method In a human fear conditioning learning model, this project
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diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease